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US20130346144A1 - Technique and apparatus for analyzing video and dialog to build viewing context - Google Patents

Technique and apparatus for analyzing video and dialog to build viewing context Download PDF

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Publication number
US20130346144A1
US20130346144A1 US13/819,295 US201113819295A US2013346144A1 US 20130346144 A1 US20130346144 A1 US 20130346144A1 US 201113819295 A US201113819295 A US 201113819295A US 2013346144 A1 US2013346144 A1 US 2013346144A1
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United States
Prior art keywords
media content
relevant data
context
media
video stream
Prior art date
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Abandoned
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US13/819,295
Inventor
Bran Ferren
Dimitri NEGROPONTE
Eric Lawrence Angelson
Cory J. Booth
Genevieve Bell
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Intel Corp
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Intel Corp
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Application filed by Intel Corp filed Critical Intel Corp
Priority to US13/819,295 priority Critical patent/US20130346144A1/en
Assigned to INTEL CORPORATION reassignment INTEL CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BOOTH, CORY J., ANGELSON, ERIC LAWRENCE, FERREN, BRAN, NEGROPONTE, DIMITRI, BELL, GENEVIEVE
Publication of US20130346144A1 publication Critical patent/US20130346144A1/en
Abandoned legal-status Critical Current

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    • G06F2203/048—Indexing scheme relating to G06F3/048
    • G06F2203/04804—Transparency, e.g. transparent or translucent windows
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C2201/00—Transmission systems of control signals via wireless link
    • G08C2201/30—User interface
    • G08C2201/32—Remote control based on movements, attitude of remote control device
    • G—PHYSICS
    • G08—SIGNALLING
    • G08C—TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILAR SIGNALS
    • G08C2201/00—Transmission systems of control signals via wireless link
    • G08C2201/40—Remote control systems using repeaters, converters, gateways
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4755—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user preferences, e.g. favourite actors or genre
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/8126—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts
    • H04N21/8133—Monomedia components thereof involving additional data, e.g. news, sports, stocks, weather forecasts specifically related to the content, e.g. biography of the actors in a movie, detailed information about an article seen in a video program

Definitions

  • Content providers have attempted to determine what content is of interest to the content consumers. Knowing what content is of interest can help target advertising, suggest similar content to the consumer, and other functions.
  • Content providers may include some metadata with their content streams, and the metadata can be used in the determination of the content of interest.
  • the metadata may include such information as a category of content, e.g. sports, news, comedy, drama; primary actors; a title; and a channel.
  • the content that is of interest to a consumer may not be reflected or captured by the metadata. Accordingly, there may be a need for improved techniques to solve these and other problems.
  • FIG. 1 illustrates one embodiment of a media processing system.
  • FIG. 2 illustrates one embodiment of a media processing component.
  • FIG. 3 illustrates one embodiment of a viewing context builder component.
  • FIG. 4 illustrates one embodiment of media content analyzer component.
  • FIG. 5 illustrates one example of media content.
  • FIG. 6 illustrates one embodiment of a logic flow.
  • FIG. 7 illustrates one embodiment of a computing architecture.
  • FIG. 8 illustrates one embodiment of a communications architecture.
  • consumer electronics, processing systems and communications systems are converging. For instance, consumer electronics such as digital televisions and media centers are evolving to include processing capabilities typically found on a computer and communications capabilities typically found in mobile devices. As such, heterogeneous consumer electronics continue to evolve into a single integrated system, sometimes referred to as a “digital home system.”
  • a digital home system may be arranged to provide a compelling entertainment environment in which a user can move seamlessly between television viewing, internet access, and home media management in various embodiments.
  • a single flexible and dynamic interface may allow a user to find the television programming that they wish to view, acquire the information that they seek from the Web, or enjoy personal audio files, photos, and movies.
  • the system may also facilitate enhanced television viewing, enable collaborative interaction with family and friends, and securely execute financial transactions.
  • a digital home system may provide these features while retaining the familiar design sensibilities and ease-of-use of a traditional television.
  • a digital home system may address common deficiencies associated with current entertainment systems in which access to television programming, the internet, and personal media requires operation of three separate interfaces.
  • a unified interface of the digital home system may incorporate physical and graphical elements tied to an easily understood underlying organizational framework, making a home entertainment experience more interesting, compelling, engaging, and efficient.
  • a unified interface may combine the best aspects of the three integrated paradigms, e.g., those of television, internet, and computers. For example, elements such as animation, information-rich displays, and video and audio cues from traditional televisions and television menus may be incorporated into the unified interface.
  • the digital home system may utilize, in some embodiments, a visual display such as a television display as a navigation device. Using the display in combination with any number of remote control devices, a user can carry out complex tasks in fulfilling and transformative ways.
  • the digital home system may include familiar mechanisms such as on-screen programming guides, innovative technologies that facilitate navigation via natural motions and gestures and context-sensitivity that understands the user and the options available to the user which all combine to make the digital home system experience intuitive and efficient as it empowers the user to utilize multiple devices in a seamlessly integrated way.
  • the digital home system may be arranged to provide a unified home entertainment experience, allowing the user to freely navigate through television, media, and internet offerings from a traditional viewing position (such as a sofa) using a unified interface.
  • the unified interface integrates the information provided by a diverse array of devices and services into the existing television or other display in a functionally seamless and easily understood manner.
  • the digital home system may include, in various embodiments, a multi-axis integrated on-screen navigation allowing the display screen to be used for navigation as well as for the presentation of content.
  • the digital home system may also include a user interface engine operative to provide context-sensitive features and overlays intelligently integrated with the underlying content and adaptive to the viewing environment.
  • a family of remote control and other input/output device may also be incorporated into the digital home system in various embodiments to further enhance the intuitive user interactions, ease of use and overall quality of the system. The embodiments are not limited in this context.
  • Embodiments are directed to a system and method of building viewing context from media content.
  • Embodiments may analyze an audio stream, a video stream, and/or a closed captioning stream for context relevant data, such as keywords, actor or personality names, locations, topics, historical time periods, music and so forth.
  • the context relevant data may be used to build a viewing preference profile for a content consumer that aggregates the context relevant data.
  • the viewing preference profile may be used to identify content that may also be of interest to the content consumer, target advertising, build a personal brand channel, and so forth.
  • the embodiments can improve upon the data available for building viewer profiles and enhance a viewing experience for a content consumer.
  • FIG. 1 illustrates a block diagram for a media processing system 100 .
  • the media processing system 100 is generally directed to performing media processing operations for media content in accordance with any associated control signaling necessary for presenting media content on an output device.
  • the media processing system 100 is particularly arranged to provide media content from disparate media sources to viewers in a home environment, such as a digital home system, for example.
  • the media processing system 100 may be suitable for any use scenarios involving presentation and display of media content.
  • the media processing system 100 shown in FIG. 1 has a limited number of elements in a certain topology, it may be appreciated that the media processing system 100 may include more or less elements in alternate topologies as desired for a given implementation. The embodiments are not limited in this context.
  • various elements of the media processing system 100 may communicate, manage, or process information in accordance with one or more protocols.
  • a protocol may comprise a set of predefined rules or instructions for managing communication among nodes.
  • a protocol may be defined by one or more standards as promulgated by a standards organization, such as, the International Telecommunications Union (ITU), the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC), the Institute of Electrical and Electronics Engineers (IEEE), the Internet Engineering Task Force (IETF), the Motion Picture Experts Group (MPEG), and so forth.
  • ITU International Telecommunications Union
  • ISO International Organization for Standardization
  • IEC International Electrotechnical Commission
  • IEEE Institute of Electrical and Electronics Engineers
  • IETF Internet Engineering Task Force
  • MPEG Motion Picture Experts Group
  • the described embodiments may be arranged to operate in accordance with standards for media processing, such as the National Television Systems Committee (NTSC) standards, the Advanced Television Systems Committee (ATSC) standards, the Phase Alteration by Line (PAL) standards, the MPEG-1 standard, the MPEG-2 standard, the MPEG-4 standard, the Open Cable standard, the Society of Motion Picture and Television Engineers (SMPTE) Video-Codec (VC-1) standards, the ITU/IEC H.263 and H.264 standards, and others.
  • NTSC National Television Systems Committee
  • ATSC Advanced Television Systems Committee
  • PAL Phase Alteration by Line
  • MPEG-1 MPEG-1 standard
  • MPEG-2 standard the MPEG-2 standard
  • MPEG-4 the Open Cable standard
  • SMPTE Society of Motion Picture and Television Engineers
  • VVB Digital Video Broadcasting
  • DVD-T Digital Video Broadcasting Terrestrial
  • DVD-S DVB Satellite
  • DVD-C DVB Cable
  • Digital Video Broadcasting is a suite of internationally accepted open standards for digital television.
  • DVB standards are maintained by the DVB Project, an international industry consortium, and they are published by a Joint Technical Committee (JTC) of European Telecommunications Standards Institute (ETSI), European Committee for Electrotechnical Standardization (CENELEC) and European Broadcasting Union (EBU).
  • JTC Joint Technical Committee
  • ETSI European Telecommunications Standards Institute
  • CENELEC European Committee for Electrotechnical Standardization
  • EBU European Broadcasting Union
  • elements of the media processing system 100 may be arranged to communicate, manage or process different types of information, such as media information and control information.
  • media information may generally include any data or signals representing multimedia content meant for a user, such as media content, voice information, video information, audio information, image information, textual information, numerical information, alphanumeric symbols, graphics, and so forth.
  • Control information may refer to any data or signals representing commands, instructions, control directives or control words meant for an automated system.
  • control information may be used to route media information through a system, to establish a connection between devices, instruct a device to process the media information in a predetermined manner, monitor or communicate status, perform synchronization, and so forth.
  • the embodiments are not limited in this context.
  • media processing system 100 may be implemented as a wired communication system, a wireless communication system, or a combination of both. Although media processing system 100 may be illustrated using a particular communications media by way of example, it may be appreciated that the principles and techniques discussed herein may be implemented using any type of communication media and accompanying technology. The embodiments are not limited in this context.
  • the media processing system 100 may include one or more elements arranged to communicate information over one or more wired communications media.
  • wired communications media may include a wire, cable, printed circuit board (PCB), backplane, switch fabric, semiconductor material, twisted-pair wire, co-axial cable, fiber optics, and so forth.
  • the wired communications media may be connected to a device using an input/output (I/O) adapter.
  • the I/O adapter may be arranged to operate with any suitable technique for controlling information signals between elements using a desired set of communications protocols, services or operating procedures.
  • the I/O adapter may also include the appropriate physical connectors to connect the I/O adapter with a corresponding communications medium.
  • Examples of an I/O adapter may include a network interface, a network interface card (NIC), disc controller, video controller, audio controller, and so forth. The embodiments are not limited in this context.
  • the media processing system 100 may include one or more wireless elements arranged to communicate information over one or more types of wireless communication media.
  • wireless communication media may include portions of a wireless spectrum, such as the RF spectrum.
  • the wireless elements may include components and interfaces suitable for communicating information signals over the designated wireless spectrum, such as one or more antennas, wireless transmitters, receiver, transmitters/receivers (“transceivers”), amplifiers, filters, control logic, antennas, and so forth.
  • the embodiments are not limited in this context.
  • the media processing system 100 may comprise a media processing device 110 .
  • the media processing device 110 may further comprise one or more input devices 102 - a , one or more output devices 104 - b , and one or more media sources 106 - c .
  • the media processing device 110 may be communicatively coupled to the input devices 102 - a , the output devices 104 - b , and the media sources 106 - c via respective wireless or wired communications connections 108 - d , 110 - e and 112 - f.
  • a and “b” and “c” and similar designators as used herein are intended to be variables representing any positive integer.
  • a complete set of input devices 102 - a may include computing devices 102 - 1 , 102 - 2 , 102 - 3 , 102 - 4 and 102 - 5 .
  • the embodiments are not limited in this context.
  • the media processing system 100 may include one or more input devices 102 - a .
  • each input device 102 - a may comprise any component or device capable of providing information to the media processing device 110 .
  • Examples of input devices 102 - a may include without limitation remote controls, pointing devices, keyboards, keypads, trackballs, trackpads, touchscreens, joysticks, game controllers, sensors, biometric sensors, thermal sensors, motion sensors, directional sensors, microphones, microphone arrays, video cameras, video camera arrays, global positioning system devices, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices, smart phones, cellular telephones, wearable computers, and so forth. The embodiments are not limited in this context.
  • the media processing system 100 may include one or more output devices 104 - b .
  • An output device 104 - b may comprise any electronic device capable of reproducing, rendering or presenting media content for consumption by a human being.
  • Examples of output devices 104 - b may include without limitation a display, an analog display, a digital display, a television display, a projector and screen, a computer display, audio speakers, headphones, a printing device, lighting systems, warning systems, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices and so forth. The embodiments are not limited in this context.
  • While various embodiments refer to input devices 102 - a providing information to media processing device 110 and output devices 104 - b receiving information from media processing device, it should be understood that one or more of the input devices 102 - a and output device 104 - b may allow for the exchange of information to and from media processing device 110 via their respectively connections 108 - d and 110 - e .
  • one or more of input devices 102 - a may be operative to provide information to media processing device 110 and to receive information from media processing device 110 .
  • one or more of output devices 104 - b may be operative to receive information from media processing device 110 and may also be operative to provide information to media processing device 110 .
  • a media source 106 - c may be operative to provide media information to the media processing device 110 and to receive information from the media processing device 110 .
  • An example of this would be a video on demand (VOD) application implemented by the media processing device 110 .
  • VOD video on demand
  • the media processing system 100 may include a display 104 - 1 .
  • the display 104 - 1 may comprise any analog or digital display capable of presenting media information received from media sources 106 - c .
  • the display 104 - 1 may display the media information at a defined format resolution.
  • the incoming video signals received from media sources 106 - c may have a native format, sometimes referred to as a visual resolution format. Examples of a visual resolution format include a digital television (DTV) format, high definition television (HDTV), progressive format, computer display formats, and so forth.
  • DTV digital television
  • HDTV high definition television
  • computer display formats and so forth.
  • the media information may be encoded with a vertical resolution format ranging between 480 visible lines per frame to 1080 visible lines per frame, and a horizontal resolution format ranging between 640 visible pixels per line to 1920 visible pixels per line.
  • the media information may be encoded in an HDTV video signal having a visual resolution format of 720 progressive (720p), which refers to 720 vertical pixels and 1280 horizontal pixels (720 ⁇ 1280).
  • the media information may have a visual resolution format corresponding to various computer display formats, such as a video graphics array (VGA) format resolution (640 ⁇ 480), an extended graphics array (XGA) format resolution (1024 ⁇ 768), a super XGA (SXGA) format resolution (1280 ⁇ 1024), an ultra XGA (UXGA) format resolution (1600 ⁇ 1200), and so forth.
  • VGA video graphics array
  • XGA extended graphics array
  • SXGA super XGA
  • UXGA ultra XGA
  • the media processing system 100 may include one or more media sources 106 - c .
  • Media sources 106 - c may comprise any media source capable of sourcing or delivering media information and/or control information to media processing device 110 . More particularly, media sources 106 - c may comprise any media source capable of sourcing or delivering digital audio and/or video (AV) signals to media processing device 110 .
  • AV digital audio and/or video
  • Examples of media sources 106 - c may include any hardware or software element capable of storing and/or delivering media information, such as a digital video recorder (DVR), a personal video recorder (PVR), a digital versatile disc (DVD) device, a video home system (VHS) device, a digital VHS device, a disk drive, a hard drive, an optical disc drive a universal serial bus (USB) flash drive, a memory card, a secure digital (SD) memory card, a mass storage device, a flash drive, a computer, a gaming console, a compact disc (CD) player, computer-readable or machine-readable memory, a digital camera, camcorder, video surveillance system, teleconferencing system, telephone system, medical and measuring instruments, scanner system, copier system, television system, digital television system, set top boxes, personal video records, server systems, computer systems, personal computer systems, smart phones, tablets, notebooks, handheld computers, wearable computers, portable media players (PMP), portable media recorders (PMR), digital audio devices (e.g
  • media sources 106 - c may include media distribution systems to provide broadcast or streaming analog or digital AV signals to media processing device 110 .
  • Examples of media distribution systems may include, for example, Over The Air (OTA) broadcast systems, terrestrial cable systems (CATV), satellite broadcast systems, and so forth. It is worthy to note that media sources 106 - c may be internal or external to media processing device 110 , depending upon a given implementation. The embodiments are not limited in this context.
  • the media processing system 100 may include one or more media processing devices 110 .
  • the media processing device 110 may comprise any electronic device arranged to receive, process, manage, and/or present media information received from media sources 106 - c .
  • the media processing device 110 may include, among other elements, a processing system, a processing sub-system, a processor, a computer, a device, an encoder, a decoder, a coder/decoder (codec), a filtering device (e.g., graphic scaling device, deblocking filtering device), a transformation device, an entertainment system, a display, or any other processing or communications architecture.
  • a processing system e.g., a processing sub-system, a processor, a computer, a device, an encoder, a decoder, a coder/decoder (codec), a filtering device (e.g., graphic scaling device, deblocking filtering device), a transformation device, an entertainment system, a display, or any other processing or communications architecture.
  • the media processing device 110 may execute processing operations or logic for the media processing system 100 using a processing component 112 .
  • the processing component 112 may comprise various hardware elements, software elements, or a combination of both. Examples of hardware elements may include devices, components, processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, application specific integrated circuits (ASIC), programmable logic devices (PLD), digital signal processors (DSP), field programmable gate array (FPGA), memory units, logic gates, registers, semiconductor device, chips, microchips, chip sets, and so forth.
  • ASIC application specific integrated circuits
  • PLD programmable logic devices
  • DSP digital signal processors
  • FPGA field programmable gate array
  • Examples of software elements may include software components, programs, applications, computer programs, application programs, system programs, machine programs, operating system software, middleware, firmware, software modules, routines, subroutines, functions, methods, procedures, software interfaces, application program interfaces (API), instruction sets, computing code, computer code, code segments, computer code segments, words, values, symbols, or any combination thereof. Determining whether an embodiment is implemented using hardware elements and/or software elements may vary in accordance with any number of factors, such as desired computational rate, power levels, heat tolerances, processing cycle budget, input data rates, output data rates, memory resources, data bus speeds and other design or performance constraints, as desired for a given implementation.
  • the media processing device 110 may execute communications operations or logic for the media processing system 100 using communications component 120 .
  • the communications component 120 may implement any well-known communications techniques and protocols, such as techniques suitable for use with packet-switched networks (e.g., public networks such as the Internet, private networks such as an enterprise intranet, and so forth), circuit-switched networks (e.g., the public switched telephone network), or a combination of packet-switched networks and circuit-switched networks (with suitable gateways and translators).
  • packet-switched networks e.g., public networks such as the Internet, private networks such as an enterprise intranet, and so forth
  • circuit-switched networks e.g., the public switched telephone network
  • a combination of packet-switched networks and circuit-switched networks with suitable gateways and translators.
  • the communications component 120 may include various types of standard communication elements, such as one or more communications interfaces, network interfaces, network interface cards (NIC), radios, wireless transmitters/receivers (transceivers), wired and/or wireless communication media, infra-red transceivers, serial interfaces, parallel interfaces, bus interfaces, physical connectors, and so forth.
  • communication media 120 includes wired communications media and wireless communications media, as previously described.
  • the media processing device 110 may comprise viewing context builder 114 .
  • Viewing context builder 114 is shown as part of media processing device 110 for purposes of illustration and not limitation. It should be understood that it viewing context builder 114 could be located in other devices, components or nodes of media processing system 100 in various embodiments and still fall within the described embodiments.
  • Metadata may be limited in the information it includes, and in some cases, may not be available at all.
  • metadata provided from the content source may be limited to the product as a whole, and may not address segments within the product. For example, in a local news program, the viewer may be interested in the local crime reports but not in the sports segment, a distinction that the metadata does not make.
  • metadata from different content sources may be inconsistent with each other, making data aggregation more challenging. For example, for a movie that takes place in outer space and has a horror component, one media source may classify the movie as “science fiction” while another may classify the movie as “horror”.
  • Viewing context builder 114 may analyze media content received from media sources 106 - c and/or stored on media processing device 110 for data that is relevant to viewer context.
  • Context relevant data may include information about content that provides some insight or indication as to what a content consumer, e.g. a viewer, prefers.
  • Context relevant data may include any kind of information that can be gleaned from audio streams, video streams, closed caption streams, and other streams that may be included in the digital media stream.
  • Context relevant data may include, for example but not limited to: keywords, locations or settings, actors or personalities, genres, time period, subject, music, and so forth. While context relevant data may include data from the metadata, it may also go beyond that information to provide a richer context for a viewer.
  • An example of a viewing context builder 114 is described in more detail below with respect to FIG. 3 .
  • FIG. 2 illustrates a block diagram for a media processing system 200 that may be the same or similar to media processing system 100 of FIG. 1 where like elements are similarly numbered.
  • the media processing system 200 may comprise a sample digital home system implementation that is arranged to provide media content from disparate media sources to viewers in a home, office, or room environment.
  • the media processing system 200 shown in FIG. 2 has a limited number of elements in a certain topology, it may be appreciated that the media processing system 200 may include more or less elements in alternate topologies as desired for a given implementation. The embodiments are not limited in this context.
  • the media processing system 200 may comprise a media processing device 110 , input device 102 - 1 , output devices 104 - 1 , 104 - 2 and 104 - 3 , and one or more media sources 106 (not shown).
  • the media processing device 110 may be communicatively coupled to the input device 102 - 1 , the output devices 104 - 1 , 104 - 2 and 104 - 3 , and the media sources 106 via respective wireless or wired communications connections 108 - 2 , 110 - 1 , 110 - 2 and 110 - 3 .
  • the one or more media sources 106 of FIG. 2 are part of, or integrated into, media processing device 110 .
  • Other embodiments are described and claimed.
  • media processing device 110 may comprise a set-top box, digital media hub, media server, or other suitable processing device arranged to control the digital home system 200 . While shown as a separate component in FIG. 2 , it should be understood that media processing device 110 may be arranged as part of output device 104 - 1 or any other suitable component of system 200 in some embodiments.
  • Output device 104 - 1 may comprise a display arranged to display information received from media processing device 110 over connection 110 - 1 in some embodiments.
  • Embodiments of output device 104 - 1 may include without limitation a display, an analog display, a digital display, a television display, a projector and screen, a computer display, audio speakers, headphones, a printing device, lighting systems, warning systems, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices and so forth.
  • output devices 104 - 2 and 104 - 3 may comprise speakers arranged to reproduce audio or other acoustic signals received from media processing device 110 over connections 110 - 2 and 110 - 3 respectively.
  • Input device 102 - 1 may comprise a remote control, smart phone, or other suitable processing device capable of communicating with media processing device 110 , output device 104 - 1 or any other device in the digital home system 200 .
  • each of the components, nodes or devices of media processing system 200 may form or comprise one example embodiment of digital home entertainment system. The embodiments are not limited to the type, number or arrangement of components illustrated in FIG. 2 .
  • FIG. 3 illustrates an embodiment of a viewing context builder 300 .
  • Viewing context builder 300 may be a representative example of viewing context builder 114 .
  • Viewing context builder 300 may include one or more components or modules to provide the functionality described herein.
  • viewing context builder 114 may include a media content analyzer 310 , a context relevant data extractor 320 , and a viewing preference profile builder 330 .
  • the embodiments are not limited to type, number or arrangement of components illustrated in FIG. 3 .
  • Media content analyzer 310 may analyze one or more streams of media content. Analyzing may include, for example, parsing the closed captioning stream to retrieve individual words, performing speech recognition on the audio stream, and/or performing various forms of video analysis on the video stream. Video analysis may include, for example, performing a “screen scrape” from an image in the video stream and identifying various elements, such as text, logos, faces, locations and so forth, in the screen scrape. Video analysis may also include, for example, object recognition, person or face recognition, foreground/background distinction, motion detection, and so forth. Media content analyzer 310 may generally identify components within the streams that potentially convey context relevant information. An example of a media content analyzer 310 is described further with respect to FIG. 4 .
  • Context relevant data extractor 320 (“data extractor 320 ”) may receive analyzed media content from media content analyzer 310 and may identify the components that convey context relevant information.
  • the components of a closed captioning stream are words.
  • the words usually reflect the spoken dialog in the audio stream, and may also provide indications as to what non-verbal audible events are taking place, such as “soft music playing” or “footsteps approaching.”
  • Data extractor 320 may perform information retrieval or text mining on the parsed text to identify statistically “important” words or phrases. The statistically important words are most likely to provide some indication of content and context. Important words may generally be words that occur rarely in a particular corpus of text.
  • tf-idf frequency-inverse document frequency
  • the closed captioning stream for one movie or television program may be considered a document, while the collection of closed captioning over a set of movies and/or television programs may be considered a corpus.
  • a corpus may be comprised, for example, of the closed captioning of movies of a particular genre, e.g. science fiction movies.
  • Data extractor 320 may, therefore, examine the frequency of words in the closed captioning stream of a television program, compare the frequency to the frequency of the words in the corpus and determine important words.
  • the important words may be considered to be context relevant data in the form of keywords. For example, in a nature program about animals of Africa, the words “hippopotamus”, “lion”, “predator” and so forth may occur relatively frequently and may be determined to be keywords.
  • the closed captioning stream may include non-dialog related text, such as text descriptions of sound effects or music.
  • data extractor may use that identification to present options to the viewer, such as a link to an online music store where the piece may be purchased.
  • the genre and/or artist of the music may also be considered context relevant data.
  • a viewer for example, may show a preference for movies that play country music as part of the soundtrack.
  • a closed captioning stream may not be available, for example, with a live television broadcast.
  • data extractor 320 may receive recognized speech from media content analyzer 310 . Data extractor 320 may perform similar information retrieval or text mining operations on the recognized speech to extract keywords.
  • data extractor 320 may receive components of a video stream from media content analyzer.
  • Components of a video stream may include, for example, recognized text, a logo, a face, a background object, a foreground object, a color, a pattern, or any other visual feature that can be distinguished in a video image or stream.
  • data extractor 320 may extract content relevant data. For example, from text, data extractor 320 may extract keywords; names of people; location names; dates; time periods, e.g. “last year” or “Victorian times”; and so forth. From a logo, data extractor 320 may identify a corporate or organization entity.
  • data extractor 320 may use a facial recognition application to identify the person, such as an actor, a politician, a television personality, a public figure, or other individuals.
  • a background object such as a landmark
  • data extractor 320 may identify, for example, a location from the landmark.
  • a date may be identified from text or from a calendar graphic.
  • data extractor 320 may identify a type of object, such as a car, and identify that object as context relevant data.
  • data extractor 320 may perform additional statistical analysis, analogous to tf-idf or other information mining techniques, to determine whether the extracted component is statistically likely to be indicative of viewer preference. The embodiments are not limited to these examples.
  • the context relevant data from data extractor 320 may be used as input to a search engine.
  • the search engine may return information and links from sources external to media processing device 110 that are related to the context relevant data.
  • the search engine may also search other channels of media content for context information containing the search terms.
  • Viewing preference profile builder 330 (“profile builder 330 ”) may receive the extracted context relevant data from data extractor 320 .
  • Profile builder 330 may generate and update a viewing preference profile 340 for the viewer or viewers using media processing device 110 .
  • Viewing preference profile 340 may count or statistically aggregate the extracted context relevant data over a period of time, e.g. a day, a week, a month and so forth.
  • Viewing preference profile 340 may include a list, table or other data structure that reflects the viewing habits of the viewers.
  • viewing preference profile 340 may store information such as: 80% of the television programs watched contain the keywords: “cardiac”, “arrest”, “ER”, “doctor”, and “code blue,” if a viewer watches a lot of medical drama programs.
  • Viewing preference profile 340 may include information such as: 60% of the movies watched take place in the time period “19 th century”. Information from different data types may be combined, such as: 65% of news segments watched contain video of the President and the keyword “
  • Profile builder 330 may compare the context relevant data to data about concurrently available programming. This comparison may help distinguish between content that a viewer is consuming because “there's nothing else on” and content that a viewer is choosing over other content that the viewer has also indicated an interest in.
  • the context relevant data may be analyzed, aggregated or processed in many other ways beyond the examples listed herein to form viewing preference profile 340 .
  • Profile builder 330 may weight context related data differently, depending, for example, on how frequently a particular context arises. If a viewer watches two to three soccer matches a week, and watches a basketball game once a month, then “soccer match” as a context may be weighted more heavily than “basketball game” in the preference profile, indicating that the viewer is more interested in soccer than basketball. Similarly, recently watched contexts may have more weight than contexts that have not been encountered for a period of time.
  • FIG. 4 illustrates an example of a media content analyzer 400 .
  • Media content analyzer 400 may be a representative example of media content analyzer 310 .
  • Media content analyzer 400 may include one or more components or modules to provide the functionality described herein.
  • media content analyzer 400 may include a closed captioning parser 410 , a speech recognizer 420 , and a video analyzer 430 .
  • the embodiments are not limited to type, number or arrangement of components illustrated in FIG. 4 .
  • Closed captioning parser 410 may receive the closed captioning stream from media content and parse the stream for individual words. Capturing context relevant data from closed captioning may be desirable because parsing text is computationally inexpensive, in particular, when compared to speech recognition or video analytics.
  • closed captioning parser 410 may remove “filler” words, such as articles, prepositions and pronouns, prior to providing the parsed words to data extractor 320 .
  • closed captioning parser 410 may be used in conjunction with a search engine, where the search engine may search the parsed closed captioning streams for the search terms to assist the searcher in finding content of interest.
  • Closed captioning parser 410 may recognize non-verbal items in the closed captioning stream, such as sound effect notations and musical information.
  • the non-verbal items may be identified as non-verbal text data.
  • multiple channels of closed captioning streams may be parsed in parallel by closed captioning parser 410 .
  • Speech recognizer 420 may receive the audio stream from media content and perform speech recognition, e.g. speech to text, on the audio stream to retrieve individual words. Once the individual words are identified, speech recognizer 420 may function similarly to closed captioning parser 410 , for example, by removing “filler” words.
  • Video analyzer 430 may be comprised of one or more components or modules to provide the functionality described herein.
  • video analyzer 430 may include a screen scraper 432 , an object recognizer 434 , a text recognizer 436 , a face recognizer 438 , and additional other recognizers 440 .
  • Video analyzer 430 may receive the video stream from media content and perform various video analytical functions on the video stream.
  • Screen scraper 432 may capture and analyze one or more still images that form part of the video stream. Analyzing may include, for example, operating on text with an optical character recognition (OCR) function. Screen scraper 432 may independently from, or in conjunction with, the other video analyzer 430 components, identify potential context relevant data from a “screen scrape”. For example, screen scraper 432 may use known or future image and video analytics to recognize the presence of text, faces, specific objects, logos, patterns, dates, people, or any other visual element of the screen scrape. In an embodiment, screen scraper 432 may analyze the screen scrape to isolate objects, but may not further identify what types of objects they are.
  • OCR optical character recognition
  • Object recognizer 434 may analyze the video stream directly, or from the screen scrape to identify discrete objects. Discrete objects tend to have a consistent border and colors as compared to a background. In some cases, object recognizer 434 may be able to recognize and identify specific categories or types of objects, such as people, vehicles, animals, landmark buildings, e.g. the Eiffel Tower, plants, bodies of water, and so forth. Object recognizer 434 may use various definitions, rule sets, or comparison images to identify an object. For example, a person may be, simplistically, recognized by a round or oval shape (the head) above a wider rectangular shape (the torso). A vehicle such as a car may be recognized by a rectangular shape with a trapezoidal shape on top. Object recognizer 434 may identify graphics, such as logos, icons, trademarks, or symbols.
  • Text recognizer 436 may analyze the video stream directly, or from the screen scrape to identify text on the screen. Text recognizer 436 may, for example, compare objects to the shapes of alphanumeric characters to determine whether the object is text. Text recognizer 436 may then perform optical character recognition on the identified text to convert the graphical representation of text to text. Text recognizer 436 may therefore be able to retrieve text from, for example, sub-titles, signs, bill-boards, text “crawl” areas, image or video captions, and so forth. Once the text is converted, text recognizer 436 may function similarly to closed captioning parser 410 , for example, by removing “filler” words.
  • Face recognizer 438 may analyze the video stream directly, from the screen scrape, or from object recognizer 434 to recognize faces on the screen. Face recognizer 438 may use known or future-developed facial identification and recognition techniques. Face recognizer 438 , or object recognizer 434 , may identify a face, for example, from an object having an ovoid shape having eye-shapes roughly aligned in the horizontal, a nose shape below and between the eye shapes, and a horizontal mouth-shape below and centered on the nose shape. Once an object is recognized as being a face, face recognizer 438 may perform face recognition to identify the specific person having the face.
  • Face recognizer 438 may access local or remote storage sites that include faces linked with names, in particular of prominent people, including news sites, entertainment sites, government sites and so forth. Face recognizer 438 may perform the face recognition itself, or may provide the face to an external service, receiving the name of the recognized person as a result. Face recognizer 438 may identify people such as actors, news reporters or presenters, politicians, business people, musicians, athletes, or other people that may be prominently figured in media content.
  • Video analyzer 430 may include other content recognizers 440 to isolate and/or identify content that is present in a video stream.
  • Other content recognizers 440 may, for example, recognize colors, color schemes, patterns, lighting qualities, and so forth. Viewers may have preferences for brightly lit scenes, or warm color palettes, for example, perhaps subconsciously, that viewing preference profile builder 330 may include as a context relevant factor.
  • video analyzer 430 may be separate components, or may be joined in any combination to provide the functionality described herein.
  • the embodiments are not limited to the examples.
  • FIG. 5 illustrates an example of a “screen scrape” 500 and of some of the context relevant data that may be extracted therefrom.
  • Screen scrape 500 may be of a news program, for example.
  • Screen scrape 500 may include a person object 502 , e.g. the news presenter, a logo graphic 504 , e.g. the news station or channel logo, and a date field 506 .
  • Date field 506 is shown as text, but could also be a calendar graphic.
  • Screen scrape 500 may also include a text crawl area 508 , a background object 510 , an icon or graphic 512 , a caption 514 , and an inset area with a face 516 .
  • Media content analyzer 310 , 400 may use various video analysis components to analyze screen scrape 500 .
  • object recognizer 434 may identify a person (or face) object 502 , a background object 510 , graphic objects 504 and 512 , and a face object 516 .
  • Text recognizer 436 may identify the texts areas 506 , 508 and 514 , and may convert the graphical text to plain text, for example, via optical character recognition.
  • Face recognizer 438 may attempt to identify the people of objects 502 and 516 .
  • Data extractor 320 may receive the components from the analyzed screen scrape, and identify and extract context relevant data.
  • Data extractor 320 may additionally receive dialog information from speech recognizer 420 and/or closed captioning parser 410 .
  • data extractor 320 may identify background object 510 as one of the great pyramids in Egypt, and extract the context relevant data of “Egypt”. From the dialog that may be describing the end to a drought in the desert in Egypt, and the text in text object 514 , keywords such as “rain”, “desert” and “drought” may be extracted as context relevant data.
  • Face 516 may be identified as an official of the Egyptian government, and the name of the official may be extracted as context relevant data.
  • the different elements of context relevant data that are extracted can further serve to identify or rule out other elements as being context related.
  • the location “Egypt”, the Egyptian official, and keyword “desert” support a context such as “news about Egypt”, while the potential keywords “championship” and “kitten” from text 508 may be discarded, as they appear too infrequently to be considered important.
  • the extracted context relevant data may be received by viewing preference profile builder 330 .
  • Viewing preference profile builder 330 may add the context relevant data to viewing preference profile 340 , either directly, or after some statistical analysis. If, for example, there is no data in the profile that relates to deserts, droughts, and/or Egypt, those topics may be added to the profile but may be assigned a low weight so as not to unduly influence the existing preferences. If “Egypt” occurs frequently in a viewing context, then the re-occurrence of “Egypt” may add some weight to the context as a preference.
  • media processing device 110 may use viewing preference profile 110 in several ways. For example, media content known to have similar or related contexts to the contexts in the viewing preference profile may be suggested to the viewer as being similar to other media content the viewer has enjoyed. Media processing device 110 may be in communication with other media processing devices, for example, those identified as “friends” of the viewer, and may compare viewing preference profiles. Where context elements overlap between profiles, media processing device 110 may determine other context elements in the friend's profile not present in viewing preference profile 340 .
  • Media processing device 110 may then identify media content that contains those other context elements and suggest them to the viewer as “People who watched X, also watched Y”, where “X” reflects media content with context in common with the viewer, and “Y” reflects media content with context not found in viewing preference profile 340 .
  • Embodiments may perform analysis and context relevant data extraction on a selected channel, e.g. the channel that media processing device 110 is tuned to. Embodiments may also perform at least some forms of analysis and context relevant data extraction on multiple channels in parallel. For example, closed captioning parsing requires relatively little processing power, compared to video analytics, and may provide sufficient context to provide some concurrent content suggestions to a viewer.
  • FIG. 6 illustrates one embodiment of a logic flow 600 .
  • the logic flow 600 may be representative of some or all of the operations executed by one or more embodiments described herein.
  • the logic flow 600 may analyze media content at block 602 .
  • media content analyzer 310 may analyze video, audio, and/or closed captioning streams in media content to identify “objects” that may convey context.
  • the result of analysis may include words, objects, faces, music, and image characteristics, for example.
  • One or more analysis techniques may be performed.
  • media content analysis may include, for example, text parsing, speech recognition, optical character recognition, face recognition, object recognition, location detection, and so forth.
  • the logic flow 600 may extract context relevant data from the analyzed media content at block 604 .
  • context relevant data extractor 320 may examine text and use information mining or text mining to determine what words convey contextual meaning and what words may be ignored.
  • the text may be received from parsed text, speech recognized text, and optical character recognized text, for example.
  • Context relevant data extractor 320 may examine objects identified in the video stream to determine what objects they are, and whether that type of object conveys context.
  • Context relevant data extractor 320 may examine two or more types of analyzed media content in conjunction to identify context relevant data. The embodiments are not limited to this example.
  • the logic flow 600 may build a viewing preference profile from the context relevant data at block 606 .
  • viewing preference profile builder 330 may receive keywords, locations, people, and other context relevant data from context relevant data extractor 320 .
  • Viewing preference profile builder 330 may aggregate the context relevant data, and may weight the data as well. For example, a keyword may be counted each time it is encountered, and the keywords having the highest counts may be considered to indicate the most preferred context. Relationships among keywords, or other context relevant data may be used to generate more complex profiles. For example, if a group of keywords often appears together, perhaps indicating a topic, and with a specific actor, then a preference for content on that topic that includes the actor may be indicated. The embodiments are not limited to this example.
  • the logic flow 600 may use the viewing preference profile to identify related media content at block 608 .
  • media processing device 110 may compare context relevant data from other media content to the viewing preference profile to identify media content that is similar to a preferred context.
  • Media processing device 110 may provide some or all of the viewing preference profile to an advertising service to obtain advertising that is targeted to the viewer's interests, according to the viewing preference profile.
  • Media processing device 110 may use the viewing preference profile to generate a custom personal brand channel for the viewer that collects media content having similar context into one channel for the viewer.
  • the viewing preference profile may be used to identify content that another viewer may find of interest, when the viewing preference profiles of the two viewers contain some contexts that overlap. The embodiments are not limited to this example.
  • Embodiments may thus provide a richer viewing context with finer granularity compared to a context constructed merely from content provider supplied metadata about media content.
  • FIG. 7 illustrates an embodiment of an exemplary computing architecture 700 suitable for implementing various embodiments as previously described.
  • the terms “system” and “device” and “component” are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution, examples of which are provided by the exemplary computing architecture 700 .
  • a component can be, but is not limited to being, a process running on a processor, a processor, a hard disk drive, multiple storage drives (of optical and/or magnetic storage medium), an object, an executable, a thread of execution, a program, and/or a computer.
  • both an application running on a server and the server can be a component.
  • One or more components can reside within a process and/or thread of execution, and a component can be localized on one computer and/or distributed between two or more computers. Further, components may be communicatively coupled to each other by various types of communications media to coordinate operations. The coordination may involve the uni-directional or bi-directional exchange of information. For instance, the components may communicate information in the form of signals communicated over the communications media. The information can be implemented as signals allocated to various signal lines. In such allocations, each message is a signal. Further embodiments, however, may alternatively employ data messages. Such data messages may be sent across various connections. Exemplary connections include parallel interfaces, serial interfaces, and bus interfaces.
  • the computing architecture 700 may comprise or be implemented as part of an electronic device.
  • an electronic device may include without limitation a mobile device, a personal digital assistant, a mobile computing device, a smart phone, a cellular telephone, a handset, a one-way pager, a two-way pager, a messaging device, a computer, a personal computer (PC), a desktop computer, a laptop computer, a notebook computer, a handheld computer, a tablet computer, a server, a server array or server farm, a web server, a network server, an Internet server, a work station, a mini-computer, a main frame computer, a supercomputer, a network appliance, a web appliance, a distributed computing system, multiprocessor systems, processor-based systems, consumer electronics, programmable consumer electronics, television, digital television, set top box, wireless access point, base station, subscriber station, mobile subscriber center, radio network controller, router, hub, gateway, bridge, switch, machine, or combination thereof.
  • the embodiments are not limited in this context
  • the computing architecture 700 includes various common computing elements, such as one or more processors, co-processors, memory units, chipsets, controllers, peripherals, interfaces, oscillators, timing devices, video cards, audio cards, multimedia input/output (I/O) components, and so forth.
  • processors such as one or more processors, co-processors, memory units, chipsets, controllers, peripherals, interfaces, oscillators, timing devices, video cards, audio cards, multimedia input/output (I/O) components, and so forth.
  • processors co-processors
  • memory units such as one or more processors, co-processors, memory units, chipsets, controllers, peripherals, interfaces, oscillators, timing devices, video cards, audio cards, multimedia input/output (I/O) components, and so forth.
  • I/O multimedia input/output
  • the computing architecture 700 comprises a processing unit 704 , a system memory 706 and a system bus 708 .
  • the processing unit 704 can be any of various commercially available processors. Dual microprocessors and other multi processor architectures may also be employed as the processing unit 704 .
  • the system bus 708 provides an interface for system components including, but not limited to, the system memory 706 to the processing unit 704 .
  • the system bus 708 can be any of several types of bus structure that may further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures.
  • the computing architecture 700 may comprise or implement various articles of manufacture.
  • An article of manufacture may comprise a computer-readable storage medium to store various forms of programming logic.
  • Examples of a computer-readable storage medium may include any tangible media capable of storing electronic data, including volatile memory or non-volatile memory, removable or non-removable memory, erasable or non-erasable memory, writeable or re-writeable memory, and so forth.
  • Examples of programming logic may include executable computer program instructions implemented using any suitable type of code, such as source code, compiled code, interpreted code, executable code, static code, dynamic code, object-oriented code, visual code, and the like.
  • the system memory 706 may include various types of computer-readable storage media in the form of one or more higher speed memory units, such as read-only memory (ROM), random-access memory (RAM), dynamic RAM (DRAM), Double-Data-Rate DRAM (DDRAM), synchronous DRAM (SDRAM), static RAM (SRAM), programmable ROM (PROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, polymer memory such as ferroelectric polymer memory, ovonic memory, phase change or ferroelectric memory, silicon-oxide-nitride-oxide-silicon (SONOS) memory, magnetic or optical cards, or any other type of media suitable for storing information.
  • the system memory 706 can include non-volatile memory 710 and/or volatile memory 712 .
  • a basic input/output system (BIOS) can be stored in the non-volatile memory 710 .
  • the computer 702 may include various types of computer-readable storage media in the form of one or more lower speed memory units, including an internal hard disk drive (HDD) 714 , a magnetic floppy disk drive (FDD) 716 to read from or write to a removable magnetic disk 718 , and an optical disk drive 720 to read from or write to a removable optical disk 722 (e.g., a CD-ROM or DVD).
  • the HDD 714 , FDD 716 and optical disk drive 720 can be connected to the system bus 708 by a HDD interface 724 , an FDD interface 726 and an optical drive interface 728 , respectively.
  • the HDD interface 724 for external drive implementations can include at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies.
  • the drives and associated computer-readable media provide volatile and/or nonvolatile storage of data, data structures, computer-executable instructions, and so forth.
  • a number of program modules can be stored in the drives and memory units 710 , 712 , including an operating system 730 , one or more application programs 732 , other program modules 734 , and program data 736 .
  • the one or more application programs 732 , other program modules 734 , and program data 736 can include, for example, the viewing context builder 300 , the media content analyzer 310 , the context relevant data extractor 320 , the viewing preference profile builder 330 , and the viewing preference profile 340 , among others.
  • a user can enter commands and information into the computer 702 through one or more wire/wireless input devices, for example, a keyboard 738 and a pointing device, such as a mouse 740 .
  • Other input devices may include a microphone, an infra-red (IR) remote control, a joystick, a game pad, a stylus pen, touch screen, or the like.
  • IR infra-red
  • These and other input devices are often connected to the processing unit 704 through an input device interface 742 that is coupled to the system bus 708 , but can be connected by other interfaces such as a parallel port, IEEE 1394 serial port, a game port, a USB port, an IR interface, and so forth.
  • a monitor 744 or other type of display device is also connected to the system bus 708 via an interface, such as a video adaptor 746 .
  • a computer typically includes other peripheral output devices, such as speakers, printers, and so forth.
  • the computer 702 may operate in a networked environment using logical connections via wire and/or wireless communications to one or more remote computers, such as a remote computer 748 .
  • the remote computer 748 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer 702 , although, for purposes of brevity, only a memory/storage device 750 is illustrated.
  • the logical connections depicted include wire/wireless connectivity to a local area network (LAN) 752 and/or larger networks, for example, a wide area network (WAN) 754 .
  • LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, for example, the Internet.
  • the computer 702 When used in a LAN networking environment, the computer 702 is connected to the LAN 752 through a wire and/or wireless communication network interface or adaptor 756 .
  • the adaptor 756 can facilitate wire and/or wireless communications to the LAN 752 , which may also include a wireless access point disposed thereon for communicating with the wireless functionality of the adaptor 756 .
  • the computer 702 can include a modem 758 , or is connected to a communications server on the WAN 754 , or has other means for establishing communications over the WAN 754 , such as by way of the Internet.
  • the modem 758 which can be internal or external and a wire and/or wireless device, connects to the system bus 708 via the input device interface 742 .
  • program modules depicted relative to the computer 702 can be stored in the remote memory/storage device 750 . It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.
  • the computer 702 is operable to communicate with wire and wireless devices or entities using the IEEE 802 family of standards, such as wireless devices operatively disposed in wireless communication (e.g., IEEE 802.11 over-the-air modulation techniques) with, for example, a printer, scanner, desktop and/or portable computer, personal digital assistant (PDA), communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone.
  • PDA personal digital assistant
  • the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices.
  • Wi-Fi networks use radio technologies called IEEE 802.11x (a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity.
  • IEEE 802.11x a, b, g, n, etc.
  • a Wi-Fi network can be used to connect computers to each other, to the Internet, and to wire networks (which use IEEE 802.3-related media and functions).
  • FIG. 8 illustrates a block diagram of an exemplary communications architecture 800 suitable for implementing various embodiments as previously described.
  • the communications architecture 800 includes various common communications elements, such as a transmitter, receiver, transceiver, radio, network interface, baseband processor, antenna, amplifiers, filters, and so forth.
  • the embodiments, however, are not limited to implementation by the communications architecture 800 .
  • the communications architecture 800 comprises includes one or more clients 802 and servers 804 .
  • the clients 802 may implement the client systems 310 , 400 .
  • the servers 804 may implement the server system 330 .
  • the clients 802 and the servers 804 are operatively connected to one or more respective client data stores 808 and server data stores 810 that can be employed to store information local to the respective clients 802 and servers 804 , such as cookies and/or associated contextual information.
  • the clients 802 and the servers 804 may communicate information between each other using a communication framework 806 .
  • the communications framework 806 may implement any well-known communications techniques and protocols, such as those described with reference to systems 300 , 400 and 700 .
  • the communications framework 806 may be implemented as a packet-switched network (e.g., public networks such as the Internet, private networks such as an enterprise intranet, and so forth), a circuit-switched network (e.g., the public switched telephone network), or a combination of a packet-switched network and a circuit-switched network (with suitable gateways and translators).
  • Some embodiments may be described using the expression “one embodiment” or “an embodiment” along with their derivatives. These terms mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment. Further, some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. These terms are not necessarily intended as synonyms for each other. For example, some embodiments may be described using the terms “connected” and/or “coupled” to indicate that two or more elements are in direct physical or electrical contact with each other. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other.

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Abstract

A media processing device may include a processing component and a viewing context builder operative on the processing component. The viewing context builder may analyze media content comprising an audio stream, a video stream, and/or a closed captioning stream from a selected channel; extract context relevant data from the analyzed media content; and build a viewing preference profile from the context relevant data. Other embodiments are described and claimed.

Description

    RELATED APPLICATIONS
  • This application claims priority to U.S. Provisional Patent Application Ser. No. 61/377,588 filed Aug. 27, 2010, which is incorporated herein by reference in its entirety.
    • BACKGROUND
  • Many content providers have attempted to determine what content is of interest to the content consumers. Knowing what content is of interest can help target advertising, suggest similar content to the consumer, and other functions. Content providers may include some metadata with their content streams, and the metadata can be used in the determination of the content of interest. The metadata may include such information as a category of content, e.g. sports, news, comedy, drama; primary actors; a title; and a channel. However, the content that is of interest to a consumer may not be reflected or captured by the metadata. Accordingly, there may be a need for improved techniques to solve these and other problems.
    • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 illustrates one embodiment of a media processing system.
  • FIG. 2 illustrates one embodiment of a media processing component.
  • FIG. 3 illustrates one embodiment of a viewing context builder component.
  • FIG. 4 illustrates one embodiment of media content analyzer component.
  • FIG. 5 illustrates one example of media content.
  • FIG. 6 illustrates one embodiment of a logic flow.
  • FIG. 7 illustrates one embodiment of a computing architecture.
  • FIG. 8 illustrates one embodiment of a communications architecture.
    •  DETAILED DESCRIPTION
  • Consumer electronics, processing systems and communications systems are converging. For instance, consumer electronics such as digital televisions and media centers are evolving to include processing capabilities typically found on a computer and communications capabilities typically found in mobile devices. As such, heterogeneous consumer electronics continue to evolve into a single integrated system, sometimes referred to as a “digital home system.”
  • A digital home system may be arranged to provide a compelling entertainment environment in which a user can move seamlessly between television viewing, internet access, and home media management in various embodiments. In some embodiments, a single flexible and dynamic interface may allow a user to find the television programming that they wish to view, acquire the information that they seek from the Web, or enjoy personal audio files, photos, and movies. The system may also facilitate enhanced television viewing, enable collaborative interaction with family and friends, and securely execute financial transactions. A digital home system may provide these features while retaining the familiar design sensibilities and ease-of-use of a traditional television.
  • In various embodiments, a digital home system may address common deficiencies associated with current entertainment systems in which access to television programming, the internet, and personal media requires operation of three separate interfaces. For example, a unified interface of the digital home system may incorporate physical and graphical elements tied to an easily understood underlying organizational framework, making a home entertainment experience more interesting, compelling, engaging, and efficient. A unified interface may combine the best aspects of the three integrated paradigms, e.g., those of television, internet, and computers. For example, elements such as animation, information-rich displays, and video and audio cues from traditional televisions and television menus may be incorporated into the unified interface. Similarly, seamless integration of different forms of content and communications mechanisms from traditional internet experiences, allowing links from one form of content to another and providing tools such as messaging and video conferencing may also be incorporated. And from computers, point-and-click mechanisms that allow effective navigation of complex information spaces may also be part of the unified interface of the digital home system in various embodiments.
  • The digital home system may utilize, in some embodiments, a visual display such as a television display as a navigation device. Using the display in combination with any number of remote control devices, a user can carry out complex tasks in fulfilling and transformative ways. The digital home system may include familiar mechanisms such as on-screen programming guides, innovative technologies that facilitate navigation via natural motions and gestures and context-sensitivity that understands the user and the options available to the user which all combine to make the digital home system experience intuitive and efficient as it empowers the user to utilize multiple devices in a seamlessly integrated way.
  • For a typical television-viewing, media-perusing, and web-browsing home user, the digital home system may be arranged to provide a unified home entertainment experience, allowing the user to freely navigate through television, media, and internet offerings from a traditional viewing position (such as a sofa) using a unified interface. In some embodiments, the unified interface integrates the information provided by a diverse array of devices and services into the existing television or other display in a functionally seamless and easily understood manner.
  • The digital home system may include, in various embodiments, a multi-axis integrated on-screen navigation allowing the display screen to be used for navigation as well as for the presentation of content. In some embodiments, the digital home system may also include a user interface engine operative to provide context-sensitive features and overlays intelligently integrated with the underlying content and adaptive to the viewing environment. A family of remote control and other input/output device may also be incorporated into the digital home system in various embodiments to further enhance the intuitive user interactions, ease of use and overall quality of the system. The embodiments are not limited in this context.
  • Various embodiments are directed to a system and method of building viewing context from media content. Embodiments may analyze an audio stream, a video stream, and/or a closed captioning stream for context relevant data, such as keywords, actor or personality names, locations, topics, historical time periods, music and so forth. The context relevant data may be used to build a viewing preference profile for a content consumer that aggregates the context relevant data. The viewing preference profile may be used to identify content that may also be of interest to the content consumer, target advertising, build a personal brand channel, and so forth. As a result, the embodiments can improve upon the data available for building viewer profiles and enhance a viewing experience for a content consumer.
  • Reference is now made to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding thereof. It may be evident, however, that the novel embodiments can be practiced without these specific details. In other instances, well known structures and devices are shown in block diagram form in order to facilitate a description thereof. The intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the claimed subject matter.
  • FIG. 1 illustrates a block diagram for a media processing system 100. The media processing system 100 is generally directed to performing media processing operations for media content in accordance with any associated control signaling necessary for presenting media content on an output device. In one embodiment, the media processing system 100 is particularly arranged to provide media content from disparate media sources to viewers in a home environment, such as a digital home system, for example. However, the media processing system 100 may be suitable for any use scenarios involving presentation and display of media content. Although the media processing system 100 shown in FIG. 1 has a limited number of elements in a certain topology, it may be appreciated that the media processing system 100 may include more or less elements in alternate topologies as desired for a given implementation. The embodiments are not limited in this context.
  • In various embodiments, various elements of the media processing system 100 may communicate, manage, or process information in accordance with one or more protocols. A protocol may comprise a set of predefined rules or instructions for managing communication among nodes. A protocol may be defined by one or more standards as promulgated by a standards organization, such as, the International Telecommunications Union (ITU), the International Organization for Standardization (ISO), the International Electrotechnical Commission (IEC), the Institute of Electrical and Electronics Engineers (IEEE), the Internet Engineering Task Force (IETF), the Motion Picture Experts Group (MPEG), and so forth. For example, the described embodiments may be arranged to operate in accordance with standards for media processing, such as the National Television Systems Committee (NTSC) standards, the Advanced Television Systems Committee (ATSC) standards, the Phase Alteration by Line (PAL) standards, the MPEG-1 standard, the MPEG-2 standard, the MPEG-4 standard, the Open Cable standard, the Society of Motion Picture and Television Engineers (SMPTE) Video-Codec (VC-1) standards, the ITU/IEC H.263 and H.264 standards, and others. Another example may include various Digital Video Broadcasting (DVB) standards, such as the Digital Video Broadcasting Terrestrial (DVB-T) broadcasting standard, the DVB Satellite (DVB-S) broadcasting standard, the DVB Cable (DVB-C) broadcasting standard, and others. Digital Video Broadcasting (DVB) is a suite of internationally accepted open standards for digital television. DVB standards are maintained by the DVB Project, an international industry consortium, and they are published by a Joint Technical Committee (JTC) of European Telecommunications Standards Institute (ETSI), European Committee for Electrotechnical Standardization (CENELEC) and European Broadcasting Union (EBU). The embodiments are not limited in this context.
  • In various embodiments, elements of the media processing system 100 may be arranged to communicate, manage or process different types of information, such as media information and control information. Examples of media information may generally include any data or signals representing multimedia content meant for a user, such as media content, voice information, video information, audio information, image information, textual information, numerical information, alphanumeric symbols, graphics, and so forth. Control information may refer to any data or signals representing commands, instructions, control directives or control words meant for an automated system. For example, control information may be used to route media information through a system, to establish a connection between devices, instruct a device to process the media information in a predetermined manner, monitor or communicate status, perform synchronization, and so forth. The embodiments are not limited in this context.
  • In various embodiments, media processing system 100 may be implemented as a wired communication system, a wireless communication system, or a combination of both. Although media processing system 100 may be illustrated using a particular communications media by way of example, it may be appreciated that the principles and techniques discussed herein may be implemented using any type of communication media and accompanying technology. The embodiments are not limited in this context.
  • When implemented as a wired system, for example, the media processing system 100 may include one or more elements arranged to communicate information over one or more wired communications media. Examples of wired communications media may include a wire, cable, printed circuit board (PCB), backplane, switch fabric, semiconductor material, twisted-pair wire, co-axial cable, fiber optics, and so forth. The wired communications media may be connected to a device using an input/output (I/O) adapter. The I/O adapter may be arranged to operate with any suitable technique for controlling information signals between elements using a desired set of communications protocols, services or operating procedures. The I/O adapter may also include the appropriate physical connectors to connect the I/O adapter with a corresponding communications medium. Examples of an I/O adapter may include a network interface, a network interface card (NIC), disc controller, video controller, audio controller, and so forth. The embodiments are not limited in this context.
  • When implemented as a wireless system, for example, the media processing system 100 may include one or more wireless elements arranged to communicate information over one or more types of wireless communication media. An example of wireless communication media may include portions of a wireless spectrum, such as the RF spectrum. The wireless elements may include components and interfaces suitable for communicating information signals over the designated wireless spectrum, such as one or more antennas, wireless transmitters, receiver, transmitters/receivers (“transceivers”), amplifiers, filters, control logic, antennas, and so forth. The embodiments are not limited in this context.
  • In the illustrated embodiment shown in FIG. 1, the media processing system 100 may comprise a media processing device 110. The media processing device 110 may further comprise one or more input devices 102-a, one or more output devices 104-b, and one or more media sources 106-c. The media processing device 110 may be communicatively coupled to the input devices 102-a, the output devices 104-b, and the media sources 106-c via respective wireless or wired communications connections 108-d, 110-e and 112-f.
  • It is worthy to note that “a” and “b” and “c” and similar designators as used herein are intended to be variables representing any positive integer. Thus, for example, if an implementation sets a value for a=5, then a complete set of input devices 102-a may include computing devices 102-1, 102-2, 102-3, 102-4 and 102-5. The embodiments are not limited in this context.
  • In various embodiments, the media processing system 100 may include one or more input devices 102-a. In general, each input device 102-a may comprise any component or device capable of providing information to the media processing device 110. Examples of input devices 102-a may include without limitation remote controls, pointing devices, keyboards, keypads, trackballs, trackpads, touchscreens, joysticks, game controllers, sensors, biometric sensors, thermal sensors, motion sensors, directional sensors, microphones, microphone arrays, video cameras, video camera arrays, global positioning system devices, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices, smart phones, cellular telephones, wearable computers, and so forth. The embodiments are not limited in this context.
  • In various embodiments, the media processing system 100 may include one or more output devices 104-b. An output device 104-b may comprise any electronic device capable of reproducing, rendering or presenting media content for consumption by a human being. Examples of output devices 104-b may include without limitation a display, an analog display, a digital display, a television display, a projector and screen, a computer display, audio speakers, headphones, a printing device, lighting systems, warning systems, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices and so forth. The embodiments are not limited in this context.
  • While various embodiments refer to input devices 102-a providing information to media processing device 110 and output devices 104-b receiving information from media processing device, it should be understood that one or more of the input devices 102-a and output device 104-b may allow for the exchange of information to and from media processing device 110 via their respectively connections 108-d and 110-e. For example, one or more of input devices 102-a may be operative to provide information to media processing device 110 and to receive information from media processing device 110. In various embodiments, one or more of output devices 104-b may be operative to receive information from media processing device 110 and may also be operative to provide information to media processing device 110. Similarly, there may be a bi-directional exchange between the media processing device 110 and media sources 106-c. For instance, a media source 106-c may be operative to provide media information to the media processing device 110 and to receive information from the media processing device 110. An example of this would be a video on demand (VOD) application implemented by the media processing device 110. The embodiments are not limited in this context.
  • In one embodiment, for example, the media processing system 100 may include a display 104-1. The display 104-1 may comprise any analog or digital display capable of presenting media information received from media sources 106-c. The display 104-1 may display the media information at a defined format resolution. In various embodiments, for example, the incoming video signals received from media sources 106-c may have a native format, sometimes referred to as a visual resolution format. Examples of a visual resolution format include a digital television (DTV) format, high definition television (HDTV), progressive format, computer display formats, and so forth. For example, the media information may be encoded with a vertical resolution format ranging between 480 visible lines per frame to 1080 visible lines per frame, and a horizontal resolution format ranging between 640 visible pixels per line to 1920 visible pixels per line. In one embodiment, for example, the media information may be encoded in an HDTV video signal having a visual resolution format of 720 progressive (720p), which refers to 720 vertical pixels and 1280 horizontal pixels (720×1280). In another example, the media information may have a visual resolution format corresponding to various computer display formats, such as a video graphics array (VGA) format resolution (640×480), an extended graphics array (XGA) format resolution (1024×768), a super XGA (SXGA) format resolution (1280×1024), an ultra XGA (UXGA) format resolution (1600×1200), and so forth. The embodiments are not limited in this context. The type of displays and format resolutions may vary in accordance with a given set of design or performance constraints, and the embodiments are not limited in this context.
  • In various embodiments, the media processing system 100 may include one or more media sources 106-c. Media sources 106-c may comprise any media source capable of sourcing or delivering media information and/or control information to media processing device 110. More particularly, media sources 106-c may comprise any media source capable of sourcing or delivering digital audio and/or video (AV) signals to media processing device 110. Examples of media sources 106-c may include any hardware or software element capable of storing and/or delivering media information, such as a digital video recorder (DVR), a personal video recorder (PVR), a digital versatile disc (DVD) device, a video home system (VHS) device, a digital VHS device, a disk drive, a hard drive, an optical disc drive a universal serial bus (USB) flash drive, a memory card, a secure digital (SD) memory card, a mass storage device, a flash drive, a computer, a gaming console, a compact disc (CD) player, computer-readable or machine-readable memory, a digital camera, camcorder, video surveillance system, teleconferencing system, telephone system, medical and measuring instruments, scanner system, copier system, television system, digital television system, set top boxes, personal video records, server systems, computer systems, personal computer systems, smart phones, tablets, notebooks, handheld computers, wearable computers, portable media players (PMP), portable media recorders (PMR), digital audio devices (e.g., MP3 players), digital media servers and so forth. Other examples of media sources 106-c may include media distribution systems to provide broadcast or streaming analog or digital AV signals to media processing device 110. Examples of media distribution systems may include, for example, Over The Air (OTA) broadcast systems, terrestrial cable systems (CATV), satellite broadcast systems, and so forth. It is worthy to note that media sources 106-c may be internal or external to media processing device 110, depending upon a given implementation. The embodiments are not limited in this context.
  • In various embodiments, the media processing system 100 may include one or more media processing devices 110. The media processing device 110 may comprise any electronic device arranged to receive, process, manage, and/or present media information received from media sources 106-c. In general, the media processing device 110 may include, among other elements, a processing system, a processing sub-system, a processor, a computer, a device, an encoder, a decoder, a coder/decoder (codec), a filtering device (e.g., graphic scaling device, deblocking filtering device), a transformation device, an entertainment system, a display, or any other processing or communications architecture. The embodiments are not limited in this context.
  • The media processing device 110 may execute processing operations or logic for the media processing system 100 using a processing component 112. The processing component 112 may comprise various hardware elements, software elements, or a combination of both. Examples of hardware elements may include devices, components, processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, application specific integrated circuits (ASIC), programmable logic devices (PLD), digital signal processors (DSP), field programmable gate array (FPGA), memory units, logic gates, registers, semiconductor device, chips, microchips, chip sets, and so forth. Examples of software elements may include software components, programs, applications, computer programs, application programs, system programs, machine programs, operating system software, middleware, firmware, software modules, routines, subroutines, functions, methods, procedures, software interfaces, application program interfaces (API), instruction sets, computing code, computer code, code segments, computer code segments, words, values, symbols, or any combination thereof. Determining whether an embodiment is implemented using hardware elements and/or software elements may vary in accordance with any number of factors, such as desired computational rate, power levels, heat tolerances, processing cycle budget, input data rates, output data rates, memory resources, data bus speeds and other design or performance constraints, as desired for a given implementation.
  • The media processing device 110 may execute communications operations or logic for the media processing system 100 using communications component 120. The communications component 120 may implement any well-known communications techniques and protocols, such as techniques suitable for use with packet-switched networks (e.g., public networks such as the Internet, private networks such as an enterprise intranet, and so forth), circuit-switched networks (e.g., the public switched telephone network), or a combination of packet-switched networks and circuit-switched networks (with suitable gateways and translators). The communications component 120 may include various types of standard communication elements, such as one or more communications interfaces, network interfaces, network interface cards (NIC), radios, wireless transmitters/receivers (transceivers), wired and/or wireless communication media, infra-red transceivers, serial interfaces, parallel interfaces, bus interfaces, physical connectors, and so forth. By way of example, and not limitation, communication media 120 includes wired communications media and wireless communications media, as previously described.
  • In various embodiments, the media processing device 110 may comprise viewing context builder 114. Viewing context builder 114 is shown as part of media processing device 110 for purposes of illustration and not limitation. It should be understood that it viewing context builder 114 could be located in other devices, components or nodes of media processing system 100 in various embodiments and still fall within the described embodiments.
  • While many digital streams include some forms of metadata about a media content product, the metadata may be limited in the information it includes, and in some cases, may not be available at all. In particular, metadata provided from the content source may be limited to the product as a whole, and may not address segments within the product. For example, in a local news program, the viewer may be interested in the local crime reports but not in the sports segment, a distinction that the metadata does not make. Further, metadata from different content sources may be inconsistent with each other, making data aggregation more challenging. For example, for a movie that takes place in outer space and has a horror component, one media source may classify the movie as “science fiction” while another may classify the movie as “horror”.
  • Viewing context builder 114 may analyze media content received from media sources 106-c and/or stored on media processing device 110 for data that is relevant to viewer context. Context relevant data may include information about content that provides some insight or indication as to what a content consumer, e.g. a viewer, prefers. Context relevant data may include any kind of information that can be gleaned from audio streams, video streams, closed caption streams, and other streams that may be included in the digital media stream. Context relevant data may include, for example but not limited to: keywords, locations or settings, actors or personalities, genres, time period, subject, music, and so forth. While context relevant data may include data from the metadata, it may also go beyond that information to provide a richer context for a viewer. An example of a viewing context builder 114 is described in more detail below with respect to FIG. 3.
  • FIG. 2 illustrates a block diagram for a media processing system 200 that may be the same or similar to media processing system 100 of FIG. 1 where like elements are similarly numbered. The media processing system 200 may comprise a sample digital home system implementation that is arranged to provide media content from disparate media sources to viewers in a home, office, or room environment. Although the media processing system 200 shown in FIG. 2 has a limited number of elements in a certain topology, it may be appreciated that the media processing system 200 may include more or less elements in alternate topologies as desired for a given implementation. The embodiments are not limited in this context.
  • In the illustrated embodiment shown in FIG. 2, the media processing system 200 may comprise a media processing device 110, input device 102-1, output devices 104-1, 104-2 and 104-3, and one or more media sources 106 (not shown). The media processing device 110 may be communicatively coupled to the input device 102-1, the output devices 104-1, 104-2 and 104-3, and the media sources 106 via respective wireless or wired communications connections 108-2, 110-1, 110-2 and 110-3. For purposes of illustration, the one or more media sources 106 of FIG. 2 (not shown) are part of, or integrated into, media processing device 110. Other embodiments are described and claimed.
  • In various embodiments, media processing device 110 may comprise a set-top box, digital media hub, media server, or other suitable processing device arranged to control the digital home system 200. While shown as a separate component in FIG. 2, it should be understood that media processing device 110 may be arranged as part of output device 104-1 or any other suitable component of system 200 in some embodiments. Output device 104-1 may comprise a display arranged to display information received from media processing device 110 over connection 110-1 in some embodiments. Embodiments of output device 104-1 may include without limitation a display, an analog display, a digital display, a television display, a projector and screen, a computer display, audio speakers, headphones, a printing device, lighting systems, warning systems, mobile computing devices, laptop computers, desktop computers, handheld computing devices, tablet computing devices, netbook computing devices and so forth. In various embodiments, output devices 104-2 and 104-3 may comprise speakers arranged to reproduce audio or other acoustic signals received from media processing device 110 over connections 110-2 and 110-3 respectively. Input device 102-1 may comprise a remote control, smart phone, or other suitable processing device capable of communicating with media processing device 110, output device 104-1 or any other device in the digital home system 200. Together, each of the components, nodes or devices of media processing system 200 may form or comprise one example embodiment of digital home entertainment system. The embodiments are not limited to the type, number or arrangement of components illustrated in FIG. 2.
  • FIG. 3 illustrates an embodiment of a viewing context builder 300. Viewing context builder 300 may be a representative example of viewing context builder 114. Viewing context builder 300 may include one or more components or modules to provide the functionality described herein. In an embodiment, for example, viewing context builder 114 may include a media content analyzer 310, a context relevant data extractor 320, and a viewing preference profile builder 330. The embodiments are not limited to type, number or arrangement of components illustrated in FIG. 3.
  • Media content analyzer 310 may analyze one or more streams of media content. Analyzing may include, for example, parsing the closed captioning stream to retrieve individual words, performing speech recognition on the audio stream, and/or performing various forms of video analysis on the video stream. Video analysis may include, for example, performing a “screen scrape” from an image in the video stream and identifying various elements, such as text, logos, faces, locations and so forth, in the screen scrape. Video analysis may also include, for example, object recognition, person or face recognition, foreground/background distinction, motion detection, and so forth. Media content analyzer 310 may generally identify components within the streams that potentially convey context relevant information. An example of a media content analyzer 310 is described further with respect to FIG. 4.
  • Context relevant data extractor 320 (“data extractor 320”) may receive analyzed media content from media content analyzer 310 and may identify the components that convey context relevant information.
  • The components of a closed captioning stream, for example, are words. The words usually reflect the spoken dialog in the audio stream, and may also provide indications as to what non-verbal audible events are taking place, such as “soft music playing” or “footsteps approaching.” Data extractor 320 may perform information retrieval or text mining on the parsed text to identify statistically “important” words or phrases. The statistically important words are most likely to provide some indication of content and context. Important words may generally be words that occur rarely in a particular corpus of text.
  • By way of background, one method of text mining is term frequency-inverse document frequency (tf-idf). In tf-idf, the importance of a word increases with the number of times it appears in the document (its frequency), offset by the frequency of the word in the corpus, or collection, of documents. A word such as “the” is a high-frequency word in all English documents, and would have a very low importance. However, a word such as “hippopotamus” is infrequently encountered and would likely be a more important word, if it appears several times in one document. Other methods of information retrieval and text mining may be used.
  • For embodiments, the closed captioning stream for one movie or television program may be considered a document, while the collection of closed captioning over a set of movies and/or television programs may be considered a corpus. A corpus may be comprised, for example, of the closed captioning of movies of a particular genre, e.g. science fiction movies. Data extractor 320 may, therefore, examine the frequency of words in the closed captioning stream of a television program, compare the frequency to the frequency of the words in the corpus and determine important words. The important words may be considered to be context relevant data in the form of keywords. For example, in a nature program about animals of Africa, the words “hippopotamus”, “lion”, “predator” and so forth may occur relatively frequently and may be determined to be keywords.
  • In an embodiment, the closed captioning stream may include non-dialog related text, such as text descriptions of sound effects or music. When a particular piece of music is identified, data extractor may use that identification to present options to the viewer, such as a link to an online music store where the piece may be purchased. The genre and/or artist of the music may also be considered context relevant data. A viewer, for example, may show a preference for movies that play country music as part of the soundtrack.
  • In some cases, a closed captioning stream may not be available, for example, with a live television broadcast. In an embodiment, data extractor 320 may receive recognized speech from media content analyzer 310. Data extractor 320 may perform similar information retrieval or text mining operations on the recognized speech to extract keywords.
  • In an embodiment, data extractor 320 may receive components of a video stream from media content analyzer. Components of a video stream may include, for example, recognized text, a logo, a face, a background object, a foreground object, a color, a pattern, or any other visual feature that can be distinguished in a video image or stream. From the components, data extractor 320 may extract content relevant data. For example, from text, data extractor 320 may extract keywords; names of people; location names; dates; time periods, e.g. “last year” or “Victorian times”; and so forth. From a logo, data extractor 320 may identify a corporate or organization entity. From a face, data extractor 320 may use a facial recognition application to identify the person, such as an actor, a politician, a television personality, a public figure, or other individuals. From a background object, such as a landmark, data extractor 320 may identify, for example, a location from the landmark. A date may be identified from text or from a calendar graphic. From a foreground object, data extractor 320 may identify a type of object, such as a car, and identify that object as context relevant data. For any extracted data item, data extractor 320 may perform additional statistical analysis, analogous to tf-idf or other information mining techniques, to determine whether the extracted component is statistically likely to be indicative of viewer preference. The embodiments are not limited to these examples.
  • The context relevant data from data extractor 320 may be used as input to a search engine. The search engine may return information and links from sources external to media processing device 110 that are related to the context relevant data. The search engine may also search other channels of media content for context information containing the search terms.
  • Viewing preference profile builder 330 (“profile builder 330”) may receive the extracted context relevant data from data extractor 320. Profile builder 330 may generate and update a viewing preference profile 340 for the viewer or viewers using media processing device 110. Viewing preference profile 340 may count or statistically aggregate the extracted context relevant data over a period of time, e.g. a day, a week, a month and so forth. Viewing preference profile 340 may include a list, table or other data structure that reflects the viewing habits of the viewers. For example, viewing preference profile 340 may store information such as: 80% of the television programs watched contain the keywords: “cardiac”, “arrest”, “ER”, “doctor”, and “code blue,” if a viewer watches a lot of medical drama programs. Viewing preference profile 340 may include information such as: 60% of the movies watched take place in the time period “19th century”. Information from different data types may be combined, such as: 65% of news segments watched contain video of the President and the keyword “economy”.
  • Profile builder 330 may compare the context relevant data to data about concurrently available programming. This comparison may help distinguish between content that a viewer is consuming because “there's nothing else on” and content that a viewer is choosing over other content that the viewer has also indicated an interest in. The context relevant data may be analyzed, aggregated or processed in many other ways beyond the examples listed herein to form viewing preference profile 340.
  • Profile builder 330 may weight context related data differently, depending, for example, on how frequently a particular context arises. If a viewer watches two to three soccer matches a week, and watches a basketball game once a month, then “soccer match” as a context may be weighted more heavily than “basketball game” in the preference profile, indicating that the viewer is more interested in soccer than basketball. Similarly, recently watched contexts may have more weight than contexts that have not been encountered for a period of time.
  • FIG. 4 illustrates an example of a media content analyzer 400. Media content analyzer 400 may be a representative example of media content analyzer 310. Media content analyzer 400 may include one or more components or modules to provide the functionality described herein. In an embodiment, for example, media content analyzer 400 may include a closed captioning parser 410, a speech recognizer 420, and a video analyzer 430. The embodiments are not limited to type, number or arrangement of components illustrated in FIG. 4.
  • Closed captioning parser 410 may receive the closed captioning stream from media content and parse the stream for individual words. Capturing context relevant data from closed captioning may be desirable because parsing text is computationally inexpensive, in particular, when compared to speech recognition or video analytics. In an embodiment, closed captioning parser 410 may remove “filler” words, such as articles, prepositions and pronouns, prior to providing the parsed words to data extractor 320. In an embodiment, closed captioning parser 410 may be used in conjunction with a search engine, where the search engine may search the parsed closed captioning streams for the search terms to assist the searcher in finding content of interest.
  • Closed captioning parser 410 may recognize non-verbal items in the closed captioning stream, such as sound effect notations and musical information. In an embodiment, the non-verbal items may be identified as non-verbal text data. In an embodiment, multiple channels of closed captioning streams may be parsed in parallel by closed captioning parser 410.
  • Speech recognizer 420 may receive the audio stream from media content and perform speech recognition, e.g. speech to text, on the audio stream to retrieve individual words. Once the individual words are identified, speech recognizer 420 may function similarly to closed captioning parser 410, for example, by removing “filler” words.
  • Video analyzer 430 may be comprised of one or more components or modules to provide the functionality described herein. For example, video analyzer 430 may include a screen scraper 432, an object recognizer 434, a text recognizer 436, a face recognizer 438, and additional other recognizers 440. Video analyzer 430 may receive the video stream from media content and perform various video analytical functions on the video stream.
  • Screen scraper 432, for example, may capture and analyze one or more still images that form part of the video stream. Analyzing may include, for example, operating on text with an optical character recognition (OCR) function. Screen scraper 432 may independently from, or in conjunction with, the other video analyzer 430 components, identify potential context relevant data from a “screen scrape”. For example, screen scraper 432 may use known or future image and video analytics to recognize the presence of text, faces, specific objects, logos, patterns, dates, people, or any other visual element of the screen scrape. In an embodiment, screen scraper 432 may analyze the screen scrape to isolate objects, but may not further identify what types of objects they are.
  • Object recognizer 434 may analyze the video stream directly, or from the screen scrape to identify discrete objects. Discrete objects tend to have a consistent border and colors as compared to a background. In some cases, object recognizer 434 may be able to recognize and identify specific categories or types of objects, such as people, vehicles, animals, landmark buildings, e.g. the Eiffel Tower, plants, bodies of water, and so forth. Object recognizer 434 may use various definitions, rule sets, or comparison images to identify an object. For example, a person may be, simplistically, recognized by a round or oval shape (the head) above a wider rectangular shape (the torso). A vehicle such as a car may be recognized by a rectangular shape with a trapezoidal shape on top. Object recognizer 434 may identify graphics, such as logos, icons, trademarks, or symbols.
  • Text recognizer 436 may analyze the video stream directly, or from the screen scrape to identify text on the screen. Text recognizer 436 may, for example, compare objects to the shapes of alphanumeric characters to determine whether the object is text. Text recognizer 436 may then perform optical character recognition on the identified text to convert the graphical representation of text to text. Text recognizer 436 may therefore be able to retrieve text from, for example, sub-titles, signs, bill-boards, text “crawl” areas, image or video captions, and so forth. Once the text is converted, text recognizer 436 may function similarly to closed captioning parser 410, for example, by removing “filler” words.
  • Face recognizer 438 may analyze the video stream directly, from the screen scrape, or from object recognizer 434 to recognize faces on the screen. Face recognizer 438 may use known or future-developed facial identification and recognition techniques. Face recognizer 438, or object recognizer 434, may identify a face, for example, from an object having an ovoid shape having eye-shapes roughly aligned in the horizontal, a nose shape below and between the eye shapes, and a horizontal mouth-shape below and centered on the nose shape. Once an object is recognized as being a face, face recognizer 438 may perform face recognition to identify the specific person having the face. Face recognizer 438 may access local or remote storage sites that include faces linked with names, in particular of prominent people, including news sites, entertainment sites, government sites and so forth. Face recognizer 438 may perform the face recognition itself, or may provide the face to an external service, receiving the name of the recognized person as a result. Face recognizer 438 may identify people such as actors, news reporters or presenters, politicians, business people, musicians, athletes, or other people that may be prominently figured in media content.
  • Video analyzer 430 may include other content recognizers 440 to isolate and/or identify content that is present in a video stream. Other content recognizers 440 may, for example, recognize colors, color schemes, patterns, lighting qualities, and so forth. Viewers may have preferences for brightly lit scenes, or warm color palettes, for example, perhaps subconsciously, that viewing preference profile builder 330 may include as a context relevant factor.
  • The various components of video analyzer 430 may be separate components, or may be joined in any combination to provide the functionality described herein. The embodiments are not limited to the examples.
  • FIG. 5 illustrates an example of a “screen scrape” 500 and of some of the context relevant data that may be extracted therefrom. Screen scrape 500 may be of a news program, for example. Screen scrape 500 may include a person object 502, e.g. the news presenter, a logo graphic 504, e.g. the news station or channel logo, and a date field 506. Date field 506 is shown as text, but could also be a calendar graphic. Screen scrape 500 may also include a text crawl area 508, a background object 510, an icon or graphic 512, a caption 514, and an inset area with a face 516.
  • Media content analyzer 310, 400 may use various video analysis components to analyze screen scrape 500. For example, object recognizer 434 may identify a person (or face) object 502, a background object 510, graphic objects 504 and 512, and a face object 516. Text recognizer 436 may identify the texts areas 506, 508 and 514, and may convert the graphical text to plain text, for example, via optical character recognition. Face recognizer 438 may attempt to identify the people of objects 502 and 516.
  • Data extractor 320 may receive the components from the analyzed screen scrape, and identify and extract context relevant data. Data extractor 320 may additionally receive dialog information from speech recognizer 420 and/or closed captioning parser 410. For example, data extractor 320 may identify background object 510 as one of the great pyramids in Egypt, and extract the context relevant data of “Egypt”. From the dialog that may be describing the end to a drought in the desert in Egypt, and the text in text object 514, keywords such as “rain”, “desert” and “drought” may be extracted as context relevant data. Face 516 may be identified as an official of the Egyptian government, and the name of the official may be extracted as context relevant data.
  • The different elements of context relevant data that are extracted can further serve to identify or rule out other elements as being context related. In the pictured example, the location “Egypt”, the Egyptian official, and keyword “desert” support a context such as “news about Egypt”, while the potential keywords “championship” and “kitten” from text 508 may be discarded, as they appear too infrequently to be considered important.
  • The extracted context relevant data may be received by viewing preference profile builder 330. Viewing preference profile builder 330 may add the context relevant data to viewing preference profile 340, either directly, or after some statistical analysis. If, for example, there is no data in the profile that relates to deserts, droughts, and/or Egypt, those topics may be added to the profile but may be assigned a low weight so as not to unduly influence the existing preferences. If “Egypt” occurs frequently in a viewing context, then the re-occurrence of “Egypt” may add some weight to the context as a preference.
  • In an embodiment, media processing device 110 may use viewing preference profile 110 in several ways. For example, media content known to have similar or related contexts to the contexts in the viewing preference profile may be suggested to the viewer as being similar to other media content the viewer has enjoyed. Media processing device 110 may be in communication with other media processing devices, for example, those identified as “friends” of the viewer, and may compare viewing preference profiles. Where context elements overlap between profiles, media processing device 110 may determine other context elements in the friend's profile not present in viewing preference profile 340. Media processing device 110 may then identify media content that contains those other context elements and suggest them to the viewer as “People who watched X, also watched Y”, where “X” reflects media content with context in common with the viewer, and “Y” reflects media content with context not found in viewing preference profile 340.
  • Embodiments may perform analysis and context relevant data extraction on a selected channel, e.g. the channel that media processing device 110 is tuned to. Embodiments may also perform at least some forms of analysis and context relevant data extraction on multiple channels in parallel. For example, closed captioning parsing requires relatively little processing power, compared to video analytics, and may provide sufficient context to provide some concurrent content suggestions to a viewer.
  • Included herein is a set of flow charts representative of exemplary methodologies for performing novel aspects of the disclosed architecture. While, for purposes of simplicity of explanation, the one or more methodologies shown herein, for example, in the form of a flow chart or flow diagram, are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance therewith, occur in a different order and/or concurrently with other acts from that shown and described herein. For example, those skilled in the art will understand and appreciate that a methodology could alternatively be represented as a series of interrelated states or events, such as in a state diagram. Moreover, not all acts illustrated in a methodology may be required for a novel implementation.
  • FIG. 6 illustrates one embodiment of a logic flow 600. The logic flow 600 may be representative of some or all of the operations executed by one or more embodiments described herein.
  • In the illustrated embodiment shown in FIG. 6, the logic flow 600 may analyze media content at block 602. For example, media content analyzer 310 may analyze video, audio, and/or closed captioning streams in media content to identify “objects” that may convey context. The result of analysis may include words, objects, faces, music, and image characteristics, for example.
  • One or more analysis techniques may be performed. Examples of media content analysis may include, for example, text parsing, speech recognition, optical character recognition, face recognition, object recognition, location detection, and so forth.
  • The logic flow 600 may extract context relevant data from the analyzed media content at block 604. For example, context relevant data extractor 320 may examine text and use information mining or text mining to determine what words convey contextual meaning and what words may be ignored. The text may be received from parsed text, speech recognized text, and optical character recognized text, for example. Context relevant data extractor 320 may examine objects identified in the video stream to determine what objects they are, and whether that type of object conveys context. Context relevant data extractor 320 may examine two or more types of analyzed media content in conjunction to identify context relevant data. The embodiments are not limited to this example.
  • The logic flow 600 may build a viewing preference profile from the context relevant data at block 606. For example, viewing preference profile builder 330 may receive keywords, locations, people, and other context relevant data from context relevant data extractor 320. Viewing preference profile builder 330 may aggregate the context relevant data, and may weight the data as well. For example, a keyword may be counted each time it is encountered, and the keywords having the highest counts may be considered to indicate the most preferred context. Relationships among keywords, or other context relevant data may be used to generate more complex profiles. For example, if a group of keywords often appears together, perhaps indicating a topic, and with a specific actor, then a preference for content on that topic that includes the actor may be indicated. The embodiments are not limited to this example.
  • The logic flow 600 may use the viewing preference profile to identify related media content at block 608. For example, media processing device 110 may compare context relevant data from other media content to the viewing preference profile to identify media content that is similar to a preferred context. Media processing device 110 may provide some or all of the viewing preference profile to an advertising service to obtain advertising that is targeted to the viewer's interests, according to the viewing preference profile. Media processing device 110 may use the viewing preference profile to generate a custom personal brand channel for the viewer that collects media content having similar context into one channel for the viewer. The viewing preference profile may be used to identify content that another viewer may find of interest, when the viewing preference profiles of the two viewers contain some contexts that overlap. The embodiments are not limited to this example.
  • Embodiments may thus provide a richer viewing context with finer granularity compared to a context constructed merely from content provider supplied metadata about media content.
  • FIG. 7 illustrates an embodiment of an exemplary computing architecture 700 suitable for implementing various embodiments as previously described. As used in this application, the terms “system” and “device” and “component” are intended to refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution, examples of which are provided by the exemplary computing architecture 700. For example, a component can be, but is not limited to being, a process running on a processor, a processor, a hard disk drive, multiple storage drives (of optical and/or magnetic storage medium), an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a server and the server can be a component. One or more components can reside within a process and/or thread of execution, and a component can be localized on one computer and/or distributed between two or more computers. Further, components may be communicatively coupled to each other by various types of communications media to coordinate operations. The coordination may involve the uni-directional or bi-directional exchange of information. For instance, the components may communicate information in the form of signals communicated over the communications media. The information can be implemented as signals allocated to various signal lines. In such allocations, each message is a signal. Further embodiments, however, may alternatively employ data messages. Such data messages may be sent across various connections. Exemplary connections include parallel interfaces, serial interfaces, and bus interfaces.
  • In one embodiment, the computing architecture 700 may comprise or be implemented as part of an electronic device. Examples of an electronic device may include without limitation a mobile device, a personal digital assistant, a mobile computing device, a smart phone, a cellular telephone, a handset, a one-way pager, a two-way pager, a messaging device, a computer, a personal computer (PC), a desktop computer, a laptop computer, a notebook computer, a handheld computer, a tablet computer, a server, a server array or server farm, a web server, a network server, an Internet server, a work station, a mini-computer, a main frame computer, a supercomputer, a network appliance, a web appliance, a distributed computing system, multiprocessor systems, processor-based systems, consumer electronics, programmable consumer electronics, television, digital television, set top box, wireless access point, base station, subscriber station, mobile subscriber center, radio network controller, router, hub, gateway, bridge, switch, machine, or combination thereof. The embodiments are not limited in this context.
  • The computing architecture 700 includes various common computing elements, such as one or more processors, co-processors, memory units, chipsets, controllers, peripherals, interfaces, oscillators, timing devices, video cards, audio cards, multimedia input/output (I/O) components, and so forth. The embodiments, however, are not limited to implementation by the computing architecture 700.
  • As shown in FIG. 7, the computing architecture 700 comprises a processing unit 704, a system memory 706 and a system bus 708. The processing unit 704 can be any of various commercially available processors. Dual microprocessors and other multi processor architectures may also be employed as the processing unit 704. The system bus 708 provides an interface for system components including, but not limited to, the system memory 706 to the processing unit 704. The system bus 708 can be any of several types of bus structure that may further interconnect to a memory bus (with or without a memory controller), a peripheral bus, and a local bus using any of a variety of commercially available bus architectures.
  • The computing architecture 700 may comprise or implement various articles of manufacture. An article of manufacture may comprise a computer-readable storage medium to store various forms of programming logic. Examples of a computer-readable storage medium may include any tangible media capable of storing electronic data, including volatile memory or non-volatile memory, removable or non-removable memory, erasable or non-erasable memory, writeable or re-writeable memory, and so forth. Examples of programming logic may include executable computer program instructions implemented using any suitable type of code, such as source code, compiled code, interpreted code, executable code, static code, dynamic code, object-oriented code, visual code, and the like.
  • The system memory 706 may include various types of computer-readable storage media in the form of one or more higher speed memory units, such as read-only memory (ROM), random-access memory (RAM), dynamic RAM (DRAM), Double-Data-Rate DRAM (DDRAM), synchronous DRAM (SDRAM), static RAM (SRAM), programmable ROM (PROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, polymer memory such as ferroelectric polymer memory, ovonic memory, phase change or ferroelectric memory, silicon-oxide-nitride-oxide-silicon (SONOS) memory, magnetic or optical cards, or any other type of media suitable for storing information. In the illustrated embodiment shown in FIG. 7, the system memory 706 can include non-volatile memory 710 and/or volatile memory 712. A basic input/output system (BIOS) can be stored in the non-volatile memory 710.
  • The computer 702 may include various types of computer-readable storage media in the form of one or more lower speed memory units, including an internal hard disk drive (HDD) 714, a magnetic floppy disk drive (FDD) 716 to read from or write to a removable magnetic disk 718, and an optical disk drive 720 to read from or write to a removable optical disk 722 (e.g., a CD-ROM or DVD). The HDD 714, FDD 716 and optical disk drive 720 can be connected to the system bus 708 by a HDD interface 724, an FDD interface 726 and an optical drive interface 728, respectively. The HDD interface 724 for external drive implementations can include at least one or both of Universal Serial Bus (USB) and IEEE 1394 interface technologies.
  • The drives and associated computer-readable media provide volatile and/or nonvolatile storage of data, data structures, computer-executable instructions, and so forth. For example, a number of program modules can be stored in the drives and memory units 710, 712, including an operating system 730, one or more application programs 732, other program modules 734, and program data 736.
  • The one or more application programs 732, other program modules 734, and program data 736 can include, for example, the viewing context builder 300, the media content analyzer 310, the context relevant data extractor 320, the viewing preference profile builder 330, and the viewing preference profile 340, among others.
  • A user can enter commands and information into the computer 702 through one or more wire/wireless input devices, for example, a keyboard 738 and a pointing device, such as a mouse 740. Other input devices may include a microphone, an infra-red (IR) remote control, a joystick, a game pad, a stylus pen, touch screen, or the like. These and other input devices are often connected to the processing unit 704 through an input device interface 742 that is coupled to the system bus 708, but can be connected by other interfaces such as a parallel port, IEEE 1394 serial port, a game port, a USB port, an IR interface, and so forth.
  • A monitor 744 or other type of display device is also connected to the system bus 708 via an interface, such as a video adaptor 746. In addition to the monitor 744, a computer typically includes other peripheral output devices, such as speakers, printers, and so forth.
  • The computer 702 may operate in a networked environment using logical connections via wire and/or wireless communications to one or more remote computers, such as a remote computer 748. The remote computer 748 can be a workstation, a server computer, a router, a personal computer, portable computer, microprocessor-based entertainment appliance, a peer device or other common network node, and typically includes many or all of the elements described relative to the computer 702, although, for purposes of brevity, only a memory/storage device 750 is illustrated. The logical connections depicted include wire/wireless connectivity to a local area network (LAN) 752 and/or larger networks, for example, a wide area network (WAN) 754. Such LAN and WAN networking environments are commonplace in offices and companies, and facilitate enterprise-wide computer networks, such as intranets, all of which may connect to a global communications network, for example, the Internet.
  • When used in a LAN networking environment, the computer 702 is connected to the LAN 752 through a wire and/or wireless communication network interface or adaptor 756. The adaptor 756 can facilitate wire and/or wireless communications to the LAN 752, which may also include a wireless access point disposed thereon for communicating with the wireless functionality of the adaptor 756.
  • When used in a WAN networking environment, the computer 702 can include a modem 758, or is connected to a communications server on the WAN 754, or has other means for establishing communications over the WAN 754, such as by way of the Internet. The modem 758, which can be internal or external and a wire and/or wireless device, connects to the system bus 708 via the input device interface 742. In a networked environment, program modules depicted relative to the computer 702, or portions thereof, can be stored in the remote memory/storage device 750. It will be appreciated that the network connections shown are exemplary and other means of establishing a communications link between the computers can be used.
  • The computer 702 is operable to communicate with wire and wireless devices or entities using the IEEE 802 family of standards, such as wireless devices operatively disposed in wireless communication (e.g., IEEE 802.11 over-the-air modulation techniques) with, for example, a printer, scanner, desktop and/or portable computer, personal digital assistant (PDA), communications satellite, any piece of equipment or location associated with a wirelessly detectable tag (e.g., a kiosk, news stand, restroom), and telephone. This includes at least Wi-Fi (or Wireless Fidelity), WiMax, and Bluetooth™ wireless technologies. Thus, the communication can be a predefined structure as with a conventional network or simply an ad hoc communication between at least two devices. Wi-Fi networks use radio technologies called IEEE 802.11x (a, b, g, n, etc.) to provide secure, reliable, fast wireless connectivity. A Wi-Fi network can be used to connect computers to each other, to the Internet, and to wire networks (which use IEEE 802.3-related media and functions).
  • FIG. 8 illustrates a block diagram of an exemplary communications architecture 800 suitable for implementing various embodiments as previously described. The communications architecture 800 includes various common communications elements, such as a transmitter, receiver, transceiver, radio, network interface, baseband processor, antenna, amplifiers, filters, and so forth. The embodiments, however, are not limited to implementation by the communications architecture 800.
  • As shown in FIG. 8, the communications architecture 800 comprises includes one or more clients 802 and servers 804. The clients 802 may implement the client systems 310, 400. The servers 804 may implement the server system 330. The clients 802 and the servers 804 are operatively connected to one or more respective client data stores 808 and server data stores 810 that can be employed to store information local to the respective clients 802 and servers 804, such as cookies and/or associated contextual information.
  • The clients 802 and the servers 804 may communicate information between each other using a communication framework 806. The communications framework 806 may implement any well-known communications techniques and protocols, such as those described with reference to systems 300, 400 and 700. The communications framework 806 may be implemented as a packet-switched network (e.g., public networks such as the Internet, private networks such as an enterprise intranet, and so forth), a circuit-switched network (e.g., the public switched telephone network), or a combination of a packet-switched network and a circuit-switched network (with suitable gateways and translators).
  • Some embodiments may be described using the expression “one embodiment” or “an embodiment” along with their derivatives. These terms mean that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment. Further, some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. These terms are not necessarily intended as synonyms for each other. For example, some embodiments may be described using the terms “connected” and/or “coupled” to indicate that two or more elements are in direct physical or electrical contact with each other. The term “coupled,” however, may also mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other.
  • It is emphasized that the Abstract of the Disclosure is provided to allow a reader to quickly ascertain the nature of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims. In addition, in the foregoing Detailed Description, it can be seen that various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments require more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive subject matter lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment. In the appended claims, the terms “including” and “in which” are used as the plain-English equivalents of the respective terms “comprising” and “wherein,” respectively. Moreover, the terms “first,” “second,” “third,” and so forth, are used merely as labels, and are not intended to impose numerical requirements on their objects.
  • What has been described above includes examples of the disclosed architecture. It is, of course, not possible to describe every conceivable combination of components and/or methodologies, but one of ordinary skill in the art may recognize that many further combinations and permutations are possible. Accordingly, the novel architecture is intended to embrace all such alterations, modifications and variations that fall within the spirit and scope of the appended claims.

Claims (25)

What is claimed is:
1. An apparatus, comprising:
a processing component;
a viewing context builder operative on the processing component to:
analyze media content comprising one or more of an audio stream, a video stream, and a closed captioning stream from a selected channel;
extract context relevant data from the analyzed media content; and
build a viewing preference profile from the context relevant data.
2. The apparatus of claim 1, wherein context relevant data comprises keywords, and the viewing context builder is further operative to:
analyze media content by parsing dialog in the closed captioning stream; and
identify keywords in the parsed dialog.
3. The apparatus of claim 1, wherein context relevant data comprises keywords, and the viewing context builder is further operative to:
analyze media content by performing speech recognition on dialog in the audio stream; and
identify keywords from the recognized speech.
4. The apparatus of claim 1, the viewing context builder further operative to:
analyze media content from a plurality of channels;
extract context relevant data from the analyzed media content; and
identify media content that may be of interest according to the viewing preference profile and the context relevant data extracted from the selected channel and the plurality of channels.
5. The apparatus of claim 1, the viewing context builder further operative to:
analyze the video stream; and
extract from the analyzed video stream content relevant data comprising one or more of: a keyword, a graphic, a location, a person, a date, a background object, a foreground object, a pattern, a color palette, and a lighting quality.
6. The apparatus of claim 5, wherein extracting relevant data from the analyzed video stream comprises at least one of:
extracting a keyword from text recognized from the video stream;
extracting a logo, icon, trademark, or symbol from a static graphic in the video stream;
extracting a location from one of: text and a background object;
extracting a person by identifying an object in the video stream as a face, and performing facial recognition on the face to identify the person; and
extracting a date from one of text and a graphic.
7. The apparatus of claim 1, wherein the context relevant data is external to media metadata included in the media content by a media source.
8. The apparatus of claim 1, comprising a digital display to present control information for the apparatus.
9. A method, comprising:
analyzing media content comprising at least one of an audio stream, a video stream, and a closed captioning stream from a selected channel;
extracting context relevant data from the analyzed media content;
building a viewing preference profile from the context relevant data; and
identifying media content that includes context relevant data similar to the viewing preference profile.
10. The method of claim 9, wherein context relevant data comprises keywords, further comprising:
analyzing media content by parsing dialog in the closed captioning stream; and
identifying keywords in the parsed dialog.
11. The method of claim 10, further comprising:
searching the parsed closed captioning stream for a search term; and
identifying media content associated with a closed captioning stream that contains the search term as a search result.
12. The method of claim 10, further comprising:
identifying keywords by:
comparing the frequency of occurrence of a word in the dialog to the frequency of the same word in a corpus of dialogs; and
identifying a word as a keyword when the frequency of occurrence of the word in the dialog is high relative to the frequency of the word in the corpus of dialogs.
13. The method of claim 9, wherein context relevant data comprises keywords, further comprising:
analyzing media content by performing speech recognition on dialog in the audio stream; and
identifying keywords from the recognized speech.
14. The method of claim 9, further comprising:
analyzing media content from a plurality of channels;
extracting context relevant data from the analyzed media content; and
identifying media content that may be of interest according to the viewing preference profile and the context relevant data extracted from the selected channel and the plurality of channels.
15. The method of claim 9, further comprising:
analyzing the video stream; and
extracting from the analyzed video stream content relevant data comprising at least one of: a keyword, a graphic, a location, a person, a date, a background object, a foreground object, a pattern, a color palette, and a lighting quality.
16. The method of claim 15, wherein extracting relevant data from the analyzed video stream comprises at least one of:
extracting a keyword from text recognized from the video stream;
extracting a logo, icon, trademark, or symbol from a static graphic in the video stream;
extracting a location from one of: text and a background object;
extracting a person by identifying an object in the video stream as a face, and performing facial recognition on the face to identify the person; and
extracting a date from one of text and a static graphic.
17. The method of claim 9, wherein the context relevant data is external to media metadata included in the media content by a media source.
18. An article comprising a computer-readable storage medium containing instructions that when executed cause a system to:
analyze media content comprising at least one of an audio stream, a video stream, and a closed captioning stream from a selected channel;
extract context relevant data from the analyzed media content;
build a viewing preference profile from the context relevant data; and
search for media content including one or more elements of the context relevant data.
19. The article of claim 18, wherein context relevant data comprises keywords, the article further comprising instructions that when executed cause the system to:
analyze media content by parsing dialog in the closed captioning stream; and
analyze media content by performing speech recognition on dialog in the audio stream; and
to identify keywords in one of the parsed dialog and the recognized speech.
20. The article of claim 19, further comprising instructions that when executed cause the system to:
identify keywords by:
comparing the frequency of occurrence of a word in the dialog to the frequency of the same word in a corpus of dialogs; and
identifying a word as a keyword when the frequency of occurrence of the word in the dialog is high relative to the frequency of the word in the corpus of dialogs.
21. The article of claim 18, further comprising instructions that when executed cause the system to:
search a plurality of closed captioning streams for a search term; and
identify media content associated with a closed captioning stream that contains the search term as a search result.
22. The article of claim 18, further comprising instructions that when executed cause the system to:
analyze the video stream; and
extract from the analyzed video stream content relevant data comprising at least one of: a keyword, a graphic, a location, a person, a date, a background object, a foreground object, a pattern, a color palette, and a lighting quality.
23. The article of claim 22, further comprising instructions that when executed cause the system to:
extract a keyword from text recognized from the video stream;
extract a logo, icon, trademark, or symbol from a static graphic in the video stream;
extract a location from one of: text and a background object;
extract a person by identifying an object in the video stream as a face, and performing facial recognition on the face to identify the person; and
extract a date from one of text and a static graphic.
24. The article of claim 18, further comprising instructions that when executed cause the system to:
analyze media content from a plurality of channels;
extract context relevant data from the analyzed media content; and
identify media content that may be of interest according to the viewing preference profile and the context relevant data extracted from the selected channel and the plurality of channels.
25. The article of claim 18, wherein the context relevant data is external to media metadata included in the media content by a media source.
US13/819,295 2010-08-27 2011-08-25 Technique and apparatus for analyzing video and dialog to build viewing context Abandoned US20130346144A1 (en)

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US13/818,948 Active 2032-11-11 US9788075B2 (en) 2010-08-27 2011-08-25 Techniques for augmenting a digital on-screen graphic
US13/819,303 Active 2034-02-18 US9769534B2 (en) 2010-08-27 2011-08-26 Techniques to customize a media processing system
US13/819,306 Active 2034-06-05 US9781484B2 (en) 2010-08-27 2011-08-26 Techniques for acoustic management of entertainment devices and systems
US13/819,310 Active 2032-04-24 US10212484B2 (en) 2010-08-27 2011-08-26 Techniques for a display navigation system
US14/789,834 Active US9736546B2 (en) 2010-08-27 2015-07-01 Transcoder enabled cloud of remotely controlled devices
US15/676,213 Active US10212485B2 (en) 2010-08-27 2017-08-14 Transcoder enabled cloud of remotely controlled devices
US15/707,065 Active 2034-10-13 US11695998B2 (en) 2010-08-27 2017-09-18 Techniques to customize a media processing system
US15/722,364 Active US10631065B2 (en) 2010-08-27 2017-10-02 Techniques for acoustic management of entertainment devices and systems
US16/279,173 Active US11019403B2 (en) 2010-08-27 2019-02-19 Transcoder enabled cloud of remotely controlled devices
US16/846,920 Active US11223882B2 (en) 2010-08-27 2020-04-13 Techniques for acoustic management of entertainment devices and systems

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Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140082130A1 (en) * 2012-09-14 2014-03-20 Comcast Cable Communications, Llc Optical Character Recognition for Video Automation
US20140229964A1 (en) * 2013-02-08 2014-08-14 Echostar Technologies L.L.C. Interest prediction
US20150050010A1 (en) * 2013-08-15 2015-02-19 Cellular South, Inc. Dba C Spire Wireless Video to data
US20160371257A1 (en) * 2015-06-17 2016-12-22 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US9697337B2 (en) 2011-04-12 2017-07-04 Applied Science, Inc. Systems and methods for managing blood donations
US9876848B1 (en) * 2014-02-21 2018-01-23 Twitter, Inc. Television key phrase detection
TWI628631B (en) * 2017-05-08 2018-07-01 和碩聯合科技股份有限公司 Remote control system, remote control method and gateway
US20190124403A1 (en) * 2017-10-20 2019-04-25 Fmr Llc Integrated Intelligent Overlay for Media Content Streams
US20200092607A1 (en) * 2018-09-17 2020-03-19 International Business Machines Corporation System and method for context detection of objectionable speech in video
US10652606B2 (en) 2015-06-23 2020-05-12 Facebook, Inc. Streaming media presentation system
WO2021112419A1 (en) * 2019-12-04 2021-06-10 Samsung Electronics Co., Ltd. Method and electronic device for automatically editing video
US20210240926A1 (en) * 2019-06-11 2021-08-05 Matthew M. Tonuzi Method and apparatus for improved analysis of legal documents
US11087421B2 (en) * 2019-06-11 2021-08-10 Matthew M. Tonuzi Method and apparatus for improved analysis of legal documents
US20220012520A1 (en) * 2019-02-01 2022-01-13 Samsung Electronics Co., Ltd. Electronic device and control method therefor
EP3891592A4 (en) * 2019-02-19 2022-01-19 Samsung Electronics Co., Ltd. METHOD FOR DISPLAYING A VISUAL OBJECT RELATING TO CONTENT AND ASSOCIATED ELECTRONIC DEVICE
US11250872B2 (en) 2019-12-14 2022-02-15 International Business Machines Corporation Using closed captions as parallel training data for customization of closed captioning systems
WO2022059817A1 (en) * 2020-09-18 2022-03-24 주식회사 사이 Ai-based minimal contextual exploration method on basis of meta-information recognition that can be known from dialogues and backgrounds of images and videos
US11426498B2 (en) 2014-05-30 2022-08-30 Applied Science, Inc. Systems and methods for managing blood donations

Families Citing this family (677)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7746321B2 (en) 2004-05-28 2010-06-29 Erik Jan Banning Easily deployable interactive direct-pointing system and presentation control system and calibration method therefor
US9285897B2 (en) 2005-07-13 2016-03-15 Ultimate Pointer, L.L.C. Easily deployable interactive direct-pointing system and calibration method therefor
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
US10002189B2 (en) 2007-12-20 2018-06-19 Apple Inc. Method and apparatus for searching using an active ontology
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
US8676904B2 (en) 2008-10-02 2014-03-18 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10706373B2 (en) 2011-06-03 2020-07-07 Apple Inc. Performing actions associated with task items that represent tasks to perform
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US9858925B2 (en) * 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
WO2011105993A1 (en) * 2010-02-25 2011-09-01 Thomson Licensing Stereoscopic subtitling with disparity estimation and limitation on the temporal variation of disparity
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
US9414125B2 (en) 2010-08-27 2016-08-09 Intel Corporation Remote control device
US9490998B1 (en) * 2010-11-08 2016-11-08 Google Inc. Network-based remote control
US10897482B2 (en) 2010-11-29 2021-01-19 Biocatch Ltd. Method, device, and system of back-coloring, forward-coloring, and fraud detection
US10747305B2 (en) 2010-11-29 2020-08-18 Biocatch Ltd. Method, system, and device of authenticating identity of a user of an electronic device
US10298614B2 (en) * 2010-11-29 2019-05-21 Biocatch Ltd. System, device, and method of generating and managing behavioral biometric cookies
US10404729B2 (en) 2010-11-29 2019-09-03 Biocatch Ltd. Device, method, and system of generating fraud-alerts for cyber-attacks
US10586036B2 (en) 2010-11-29 2020-03-10 Biocatch Ltd. System, device, and method of recovery and resetting of user authentication factor
US11223619B2 (en) 2010-11-29 2022-01-11 Biocatch Ltd. Device, system, and method of user authentication based on user-specific characteristics of task performance
US12101354B2 (en) * 2010-11-29 2024-09-24 Biocatch Ltd. Device, system, and method of detecting vishing attacks
US10917431B2 (en) 2010-11-29 2021-02-09 Biocatch Ltd. System, method, and device of authenticating a user based on selfie image or selfie video
US10970394B2 (en) 2017-11-21 2021-04-06 Biocatch Ltd. System, device, and method of detecting vishing attacks
US11269977B2 (en) 2010-11-29 2022-03-08 Biocatch Ltd. System, apparatus, and method of collecting and processing data in electronic devices
US20190158535A1 (en) * 2017-11-21 2019-05-23 Biocatch Ltd. Device, System, and Method of Detecting Vishing Attacks
US10069837B2 (en) 2015-07-09 2018-09-04 Biocatch Ltd. Detection of proxy server
US10834590B2 (en) 2010-11-29 2020-11-10 Biocatch Ltd. Method, device, and system of differentiating between a cyber-attacker and a legitimate user
US10474815B2 (en) 2010-11-29 2019-11-12 Biocatch Ltd. System, device, and method of detecting malicious automatic script and code injection
US11210674B2 (en) 2010-11-29 2021-12-28 Biocatch Ltd. Method, device, and system of detecting mule accounts and accounts used for money laundering
US10776476B2 (en) 2010-11-29 2020-09-15 Biocatch Ltd. System, device, and method of visual login
US10949757B2 (en) 2010-11-29 2021-03-16 Biocatch Ltd. System, device, and method of detecting user identity based on motor-control loop model
US10728761B2 (en) 2010-11-29 2020-07-28 Biocatch Ltd. Method, device, and system of detecting a lie of a user who inputs data
US10685355B2 (en) * 2016-12-04 2020-06-16 Biocatch Ltd. Method, device, and system of detecting mule accounts and accounts used for money laundering
US10949514B2 (en) 2010-11-29 2021-03-16 Biocatch Ltd. Device, system, and method of differentiating among users based on detection of hardware components
US10621585B2 (en) 2010-11-29 2020-04-14 Biocatch Ltd. Contextual mapping of web-pages, and generation of fraud-relatedness score-values
US10262324B2 (en) 2010-11-29 2019-04-16 Biocatch Ltd. System, device, and method of differentiating among users based on user-specific page navigation sequence
US9542203B2 (en) 2010-12-06 2017-01-10 Microsoft Technology Licensing, Llc Universal dock for context sensitive computing device
US8923770B2 (en) 2010-12-09 2014-12-30 Microsoft Corporation Cognitive use of multiple regulatory domains
US8792429B2 (en) * 2010-12-14 2014-07-29 Microsoft Corporation Direct connection with side channel control
US9294545B2 (en) 2010-12-16 2016-03-22 Microsoft Technology Licensing, Llc Fast join of peer to peer group with power saving mode
US8948382B2 (en) 2010-12-16 2015-02-03 Microsoft Corporation Secure protocol for peer-to-peer network
US8971841B2 (en) 2010-12-17 2015-03-03 Microsoft Corporation Operating system supporting cost aware applications
KR101807622B1 (en) * 2010-12-27 2017-12-11 삼성전자주식회사 Display apparatus, remote controller and method for controlling applied thereto
US10630820B2 (en) 2011-03-11 2020-04-21 Ilumi Solutions, Inc. Wireless communication methods
US10321541B2 (en) 2011-03-11 2019-06-11 Ilumi Solutions, Inc. LED lighting device
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
JP5716504B2 (en) * 2011-04-06 2015-05-13 富士通株式会社 Image processing apparatus, image processing method, and image processing program
US20120260284A1 (en) * 2011-04-07 2012-10-11 Sony Corporation User interface for audio video display device such as tv personalized for multiple viewers
US8955003B2 (en) * 2011-05-19 2015-02-10 Echostar Technologies L.L.C. Apparatus, systems and methods for a media device pre-operation
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
US9294869B2 (en) 2013-03-13 2016-03-22 Aliphcom Methods, systems and apparatus to affect RF transmission from a non-linked wireless client
US20130067331A1 (en) * 2011-09-09 2013-03-14 Screenovate Technologies Ltd. Method and System of Simultaneous Display of Multiple Screens on a Target Display
US9600834B2 (en) * 2011-10-26 2017-03-21 Yahoo! Inc. Aggregating data from multiple devices belonging to one user for directed ad targeting
JP2013106315A (en) * 2011-11-16 2013-05-30 Toshiba Corp Information terminal, home appliances, information processing method, and information processing program
KR101350985B1 (en) * 2011-11-22 2014-01-15 도시바삼성스토리지테크놀러지코리아 주식회사 Method and apparatus for providing 3D polyhedron user interface
WO2013081894A1 (en) 2011-11-28 2013-06-06 Corning Incorporated Optical touch-screen systems and methods using a planar transparent sheet
WO2013081896A1 (en) 2011-11-28 2013-06-06 Corning Incorporated Robust optical touch-screen systems and methods using a planar transparent sheet
US8838647B2 (en) * 2011-12-06 2014-09-16 International Business Machines Corporation Automatic multi-user profile management for media content selection
US9021056B2 (en) 2011-12-13 2015-04-28 Facebook, Inc. Metadata prediction of objects in a social networking system using crowd sourcing
KR101736477B1 (en) * 2011-12-20 2017-05-16 인텔 코포레이션 Local sensor augmentation of stored content and ar communication
JP6044079B2 (en) * 2012-02-06 2016-12-14 ソニー株式会社 Information processing apparatus, information processing method, and program
US9749515B2 (en) * 2012-02-19 2017-08-29 Jack J. McCauley System and methods for wireless remote control over cameras with audio processing to generate a refined audio signal
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
CA2861985A1 (en) * 2012-03-05 2013-09-12 Mtek C&K Co.,Ltd. Automatic interoperation control method and apparatus for multiple devices
WO2013134567A1 (en) * 2012-03-06 2013-09-12 Sirius Xm Radio Inc. Systems and methods for audio attribute mapping
WO2013136118A1 (en) * 2012-03-14 2013-09-19 Nokia Corporation Spatial audio signal filtering
TWI467131B (en) * 2012-04-24 2015-01-01 Pixart Imaging Inc Method of determining object position and system thereof
US9880653B2 (en) 2012-04-30 2018-01-30 Corning Incorporated Pressure-sensing touch system utilizing total-internal reflection
US10417037B2 (en) 2012-05-15 2019-09-17 Apple Inc. Systems and methods for integrating third party services with a digital assistant
US9927952B2 (en) * 2012-05-23 2018-03-27 Microsoft Technology Licensing, Llc Utilizing a ribbon to access an application user interface
US9952719B2 (en) 2012-05-24 2018-04-24 Corning Incorporated Waveguide-based touch system employing interference effects
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9535559B2 (en) 2012-06-15 2017-01-03 Intel Corporation Stream-based media management
US20130335203A1 (en) * 2012-06-19 2013-12-19 Yan Long Sun Portable electronic device for remotely controlling smart home electronic devices and method thereof
CN104582773B (en) 2012-06-20 2017-09-26 马奎特紧急护理公司 Breathing apparatus with the display that background may be selected with user
US20140003195A1 (en) 2012-06-28 2014-01-02 Net Power And Light, Inc. Coordinating devices to estimate distance, relative position, and device attitude
CN107479911B (en) 2012-07-27 2021-07-16 华为终端有限公司 Method for downloading application program, user equipment and application server
US10237613B2 (en) 2012-08-03 2019-03-19 Elwha Llc Methods and systems for viewing dynamically customized audio-visual content
US10455284B2 (en) 2012-08-31 2019-10-22 Elwha Llc Dynamic customization and monetization of audio-visual content
US9300994B2 (en) * 2012-08-03 2016-03-29 Elwha Llc Methods and systems for viewing dynamically customized audio-visual content
US8930005B2 (en) * 2012-08-07 2015-01-06 Sonos, Inc. Acoustic signatures in a playback system
CN103677320B (en) * 2012-08-30 2018-09-25 索尼公司 Remote controler, remote equipment, multimedia system and control method
JP6051691B2 (en) * 2012-08-31 2016-12-27 株式会社リコー Device cooperation program, device cooperation system, device cooperation method, and portable terminal
US9547647B2 (en) 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
US9922646B1 (en) 2012-09-21 2018-03-20 Amazon Technologies, Inc. Identifying a location of a voice-input device
US9805721B1 (en) * 2012-09-21 2017-10-31 Amazon Technologies, Inc. Signaling voice-controlled devices
US9247225B2 (en) * 2012-09-25 2016-01-26 Intel Corporation Video indexing with viewer reaction estimation and visual cue detection
JP5665142B2 (en) * 2012-09-26 2015-02-04 Ｎｅｃカシオモバイルコミュニケーションズ株式会社 Information processing apparatus, posting system, display control method, and program
US9349123B1 (en) * 2012-10-04 2016-05-24 Amazon Technologies, Inc. Hybrid native networked application
US9134842B2 (en) 2012-10-04 2015-09-15 Corning Incorporated Pressure sensing touch systems and methods
US9285623B2 (en) 2012-10-04 2016-03-15 Corning Incorporated Touch screen systems with interface layer
US9619084B2 (en) 2012-10-04 2017-04-11 Corning Incorporated Touch screen systems and methods for sensing touch screen displacement
US9557846B2 (en) 2012-10-04 2017-01-31 Corning Incorporated Pressure-sensing touch system utilizing optical and capacitive systems
US20140210770A1 (en) 2012-10-04 2014-07-31 Corning Incorporated Pressure sensing touch systems and methods
JP6004474B2 (en) * 2012-10-04 2016-10-12 アルパイン株式会社 Equipment control device
US10713846B2 (en) 2012-10-05 2020-07-14 Elwha Llc Systems and methods for sharing augmentation data
US10269179B2 (en) * 2012-10-05 2019-04-23 Elwha Llc Displaying second augmentations that are based on registered first augmentations
US9141188B2 (en) 2012-10-05 2015-09-22 Elwha Llc Presenting an augmented view in response to acquisition of data inferring user activity
US9077647B2 (en) 2012-10-05 2015-07-07 Elwha Llc Correlating user reactions with augmentations displayed through augmented views
US10180715B2 (en) 2012-10-05 2019-01-15 Elwha Llc Correlating user reaction with at least an aspect associated with an augmentation of an augmented view
US20140104247A1 (en) * 2012-10-17 2014-04-17 Adam Li Devices and systems for rendering ambient light effects in video
US8928812B2 (en) 2012-10-17 2015-01-06 Sony Corporation Ambient light effects based on video via home automation
US8928811B2 (en) 2012-10-17 2015-01-06 Sony Corporation Methods and systems for generating ambient light effects based on video content
WO2014064489A1 (en) * 2012-10-25 2014-05-01 Nokia Corporation Foreign object detection
US20140130090A1 (en) * 2012-11-05 2014-05-08 Microsoft Corporation Contextual gesture controls
US20140130076A1 (en) * 2012-11-05 2014-05-08 Immersive Labs, Inc. System and Method of Media Content Selection Using Adaptive Recommendation Engine
US9591339B1 (en) 2012-11-27 2017-03-07 Apple Inc. Agnostic media delivery system
US9113347B2 (en) 2012-12-05 2015-08-18 At&T Intellectual Property I, Lp Backhaul link for distributed antenna system
US8839309B2 (en) * 2012-12-05 2014-09-16 United Video Properties, Inc. Methods and systems for displaying contextually relevant information from a plurality of users in real-time regarding a media asset
US10009065B2 (en) 2012-12-05 2018-06-26 At&T Intellectual Property I, L.P. Backhaul link for distributed antenna system
US9774917B1 (en) 2012-12-10 2017-09-26 Apple Inc. Channel bar user interface
US10200761B1 (en) 2012-12-13 2019-02-05 Apple Inc. TV side bar user interface
US20140168093A1 (en) * 2012-12-13 2014-06-19 Nvidia Corporation Method and system of emulating pressure sensitivity on a surface
US9532111B1 (en) 2012-12-18 2016-12-27 Apple Inc. Devices and method for providing remote control hints on a display
CN103076919B (en) * 2012-12-29 2016-04-13 广东志成冠军集团有限公司 A kind of wireless touch remote control thereof and system
US10521188B1 (en) 2012-12-31 2019-12-31 Apple Inc. Multi-user TV user interface
US20140242913A1 (en) * 2013-01-01 2014-08-28 Aliphcom Mobile device speaker control
US10199051B2 (en) 2013-02-07 2019-02-05 Apple Inc. Voice trigger for a digital assistant
US9000927B2 (en) * 2013-02-25 2015-04-07 Sony Corporation System and method for monitoring biometric data
US10219100B2 (en) * 2013-03-13 2019-02-26 Aliphcom Determining proximity for devices interacting with media devices
US10652394B2 (en) 2013-03-14 2020-05-12 Apple Inc. System and method for processing voicemail
US11044451B2 (en) 2013-03-14 2021-06-22 Jawb Acquisition Llc Proximity-based control of media devices for media presentations
US9210526B2 (en) * 2013-03-14 2015-12-08 Intel Corporation Audio localization techniques for visual effects
US10748529B1 (en) 2013-03-15 2020-08-18 Apple Inc. Voice activated device for use with a voice-based digital assistant
US12149779B2 (en) 2013-03-15 2024-11-19 Apple Inc. Advertisement user interface
US9846965B2 (en) 2013-03-15 2017-12-19 Disney Enterprises, Inc. Augmented reality device with predefined object data
US9639964B2 (en) 2013-03-15 2017-05-02 Elwha Llc Dynamically preserving scene elements in augmented reality systems
US9118952B2 (en) * 2013-03-15 2015-08-25 Time Warner Cable Enterprises Llc Methods and apparatus that facilitate controlling multiple devices
US10109075B2 (en) 2013-03-15 2018-10-23 Elwha Llc Temporal element restoration in augmented reality systems
US10025486B2 (en) 2013-03-15 2018-07-17 Elwha Llc Cross-reality select, drag, and drop for augmented reality systems
US20140317480A1 (en) * 2013-04-23 2014-10-23 Microsoft Corporation Automatic music video creation from a set of photos
US9529917B2 (en) * 2013-05-21 2016-12-27 Saleforce.com, inc. System and method for generating information feed based on contextual data
US9999038B2 (en) 2013-05-31 2018-06-12 At&T Intellectual Property I, L.P. Remote distributed antenna system
US9525524B2 (en) 2013-05-31 2016-12-20 At&T Intellectual Property I, L.P. Remote distributed antenna system
WO2014197334A2 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
WO2014197335A1 (en) 2013-06-08 2014-12-11 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
EP3008641A1 (en) 2013-06-09 2016-04-20 Apple Inc. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
KR102160767B1 (en) * 2013-06-20 2020-09-29 삼성전자주식회사 Mobile terminal and method for detecting a gesture to control functions
WO2014209324A1 (en) 2013-06-27 2014-12-31 Garcia Jason A Adaptively embedding visual advertising content into media content
KR101362748B1 (en) * 2013-07-26 2014-02-14 김종용 Device control method
DE112014003653B4 (en) 2013-08-06 2024-04-18 Apple Inc. Automatically activate intelligent responses based on activities from remote devices
US9201522B2 (en) * 2013-09-03 2015-12-01 Qualcomm Incorporated Acoustic position tracking system
US9693030B2 (en) 2013-09-09 2017-06-27 Arris Enterprises Llc Generating alerts based upon detector outputs
BR112016006860B8 (en) 2013-09-13 2023-01-10 Arris Entpr Inc APPARATUS AND METHOD FOR CREATING A SINGLE DATA STREAM OF COMBINED INFORMATION FOR RENDERING ON A CUSTOMER COMPUTING DEVICE
US10108601B2 (en) * 2013-09-19 2018-10-23 Infosys Limited Method and system for presenting personalized content
US20150116079A1 (en) * 2013-10-24 2015-04-30 GM Global Technology Operations LLC Enhanced vehicle key fob
US8897697B1 (en) 2013-11-06 2014-11-25 At&T Intellectual Property I, Lp Millimeter-wave surface-wave communications
WO2015081321A1 (en) 2013-11-29 2015-06-04 Mechio Inc. Wearable computing device
US10296160B2 (en) 2013-12-06 2019-05-21 Apple Inc. Method for extracting salient dialog usage from live data
US9209902B2 (en) 2013-12-10 2015-12-08 At&T Intellectual Property I, L.P. Quasi-optical coupler
US9569027B2 (en) * 2013-12-12 2017-02-14 Visteon Global Technologies, Inc. Implementing a hidden touch surface
KR20150072719A (en) * 2013-12-20 2015-06-30 삼성전자주식회사 Display apparatus and control method thereof
IN2014MU00140A (en) 2014-01-15 2015-08-28 Whats On India Media Private Ltd
CN103795785B (en) * 2014-01-16 2019-01-08 加一联创电子科技有限公司 Internet of Things network control method and terminal
US9299119B2 (en) * 2014-02-24 2016-03-29 Disney Enterprises, Inc. Overlay-based watermarking for video synchronization with contextual data
US20140184910A1 (en) * 2014-02-24 2014-07-03 Apex Technology Ventures, LLC Methods and Systems for Remote Controller Communication Network
US9197932B1 (en) 2014-02-27 2015-11-24 Comcast Cable Communications, Llc Association of content recordings for content delivery
USD765092S1 (en) 2014-03-03 2016-08-30 Apple Inc. Display screen or portion thereof with graphical user interface
US9934047B2 (en) 2014-03-20 2018-04-03 Intel Corporation Techniques for switching between operating systems
US20150268827A1 (en) * 2014-03-24 2015-09-24 Hideep Inc. Method for controlling moving direction of display object and a terminal thereof
KR20150111813A (en) * 2014-03-26 2015-10-06 이지세이버 주식회사 Apparatus for controlling operation of electronic device
US9900656B2 (en) 2014-04-02 2018-02-20 Whats On India Media Private Limited Method and system for customer management
USD768188S1 (en) * 2014-04-08 2016-10-04 Huawei Device Co., Ltd. Display screen or portion thereof with graphical user interface
CN105095234A (en) * 2014-04-30 2015-11-25 富泰华工业（深圳）有限公司 Document content automatic search system and method
US9811239B2 (en) * 2014-05-05 2017-11-07 Cellco Partnership Systems and methods for efficiently searching applications
KR102173110B1 (en) * 2014-05-07 2020-11-02 삼성전자주식회사 Wearable device and controlling method thereof
GB201408258D0 (en) 2014-05-09 2014-06-25 British Sky Broadcasting Ltd Television display and remote control
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
CN110797019B (en) 2014-05-30 2023-08-29 苹果公司 Multi-command single speech input method
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9277140B2 (en) * 2014-06-04 2016-03-01 Lumos Technologies LLC Display hub for classrooms
US20150358767A1 (en) * 2014-06-10 2015-12-10 Aliphcom Intelligent device connection for wireless media in an ad hoc acoustic network
US20150358768A1 (en) * 2014-06-10 2015-12-10 Aliphcom Intelligent device connection for wireless media in an ad hoc acoustic network
EP3126953A1 (en) 2014-06-24 2017-02-08 Apple Inc. Column interface for navigating in a user interface
CN111078109B (en) 2014-06-24 2024-01-09 苹果公司 Input device and user interface interactions
USD775166S1 (en) * 2014-06-25 2016-12-27 Mitsubishi Electric Corporation Display with a graphical user interface
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
JP6357936B2 (en) * 2014-07-14 2018-07-18 船井電機株式会社 Wireless operation system
US20160018978A1 (en) * 2014-07-21 2016-01-21 Beam Authentic, LLC Systems and Applications for Display Devices
US10416947B2 (en) 2014-07-28 2019-09-17 BEAM Authentic Inc. Mountable display devices
KR102289144B1 (en) * 2014-07-31 2021-08-13 현대엠엔소프트 주식회사 Method for controlling electronic device
US9389831B2 (en) * 2014-08-06 2016-07-12 Toyota Jidosha Kabushiki Kaisha Sharing speech dialog capabilities of a vehicle
US9692101B2 (en) 2014-08-26 2017-06-27 At&T Intellectual Property I, L.P. Guided wave couplers for coupling electromagnetic waves between a waveguide surface and a surface of a wire
USD772284S1 (en) 2014-09-01 2016-11-22 Apple Inc. Display screen or portion thereof with a set of graphical user interfaces
US20160065676A1 (en) * 2014-09-02 2016-03-03 Raytheon BBN Technologies, Corp. Control Of Network Connected Systems
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US9768833B2 (en) 2014-09-15 2017-09-19 At&T Intellectual Property I, L.P. Method and apparatus for sensing a condition in a transmission medium of electromagnetic waves
US10063280B2 (en) 2014-09-17 2018-08-28 At&T Intellectual Property I, L.P. Monitoring and mitigating conditions in a communication network
US10275139B2 (en) 2014-09-18 2019-04-30 Sony Interactive Entertainment LLC System and method for integrated user interface for electronic devices
US9628854B2 (en) 2014-09-29 2017-04-18 At&T Intellectual Property I, L.P. Method and apparatus for distributing content in a communication network
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9773409B1 (en) * 2014-09-30 2017-09-26 Apple Inc. Automatically configuring a remote control for a device
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US9615269B2 (en) 2014-10-02 2017-04-04 At&T Intellectual Property I, L.P. Method and apparatus that provides fault tolerance in a communication network
US9685992B2 (en) 2014-10-03 2017-06-20 At&T Intellectual Property I, L.P. Circuit panel network and methods thereof
US9288533B1 (en) 2014-10-07 2016-03-15 At&T Intellectual Property I, Lp System and method for delivering interactive trigger events
US9503189B2 (en) 2014-10-10 2016-11-22 At&T Intellectual Property I, L.P. Method and apparatus for arranging communication sessions in a communication system
US9762289B2 (en) 2014-10-14 2017-09-12 At&T Intellectual Property I, L.P. Method and apparatus for transmitting or receiving signals in a transportation system
US9973299B2 (en) 2014-10-14 2018-05-15 At&T Intellectual Property I, L.P. Method and apparatus for adjusting a mode of communication in a communication network
KR102283546B1 (en) * 2014-10-16 2021-07-29 삼성전자주식회사 Method and Wearable Device for executing application
US9780834B2 (en) 2014-10-21 2017-10-03 At&T Intellectual Property I, L.P. Method and apparatus for transmitting electromagnetic waves
US9769020B2 (en) 2014-10-21 2017-09-19 At&T Intellectual Property I, L.P. Method and apparatus for responding to events affecting communications in a communication network
US9577306B2 (en) 2014-10-21 2017-02-21 At&T Intellectual Property I, L.P. Guided-wave transmission device and methods for use therewith
US9653770B2 (en) 2014-10-21 2017-05-16 At&T Intellectual Property I, L.P. Guided wave coupler, coupling module and methods for use therewith
US9564947B2 (en) 2014-10-21 2017-02-07 At&T Intellectual Property I, L.P. Guided-wave transmission device with diversity and methods for use therewith
US9312919B1 (en) 2014-10-21 2016-04-12 At&T Intellectual Property I, Lp Transmission device with impairment compensation and methods for use therewith
US9627768B2 (en) 2014-10-21 2017-04-18 At&T Intellectual Property I, L.P. Guided-wave transmission device with non-fundamental mode propagation and methods for use therewith
US9520945B2 (en) 2014-10-21 2016-12-13 At&T Intellectual Property I, L.P. Apparatus for providing communication services and methods thereof
US9654173B2 (en) 2014-11-20 2017-05-16 At&T Intellectual Property I, L.P. Apparatus for powering a communication device and methods thereof
US9954287B2 (en) 2014-11-20 2018-04-24 At&T Intellectual Property I, L.P. Apparatus for converting wireless signals and electromagnetic waves and methods thereof
US10340573B2 (en) 2016-10-26 2019-07-02 At&T Intellectual Property I, L.P. Launcher with cylindrical coupling device and methods for use therewith
US10009067B2 (en) 2014-12-04 2018-06-26 At&T Intellectual Property I, L.P. Method and apparatus for configuring a communication interface
US9800327B2 (en) 2014-11-20 2017-10-24 At&T Intellectual Property I, L.P. Apparatus for controlling operations of a communication device and methods thereof
US10243784B2 (en) 2014-11-20 2019-03-26 At&T Intellectual Property I, L.P. System for generating topology information and methods thereof
US9742462B2 (en) 2014-12-04 2017-08-22 At&T Intellectual Property I, L.P. Transmission medium and communication interfaces and methods for use therewith
US9461706B1 (en) 2015-07-31 2016-10-04 At&T Intellectual Property I, Lp Method and apparatus for exchanging communication signals
US9544006B2 (en) 2014-11-20 2017-01-10 At&T Intellectual Property I, L.P. Transmission device with mode division multiplexing and methods for use therewith
US9997819B2 (en) 2015-06-09 2018-06-12 At&T Intellectual Property I, L.P. Transmission medium and method for facilitating propagation of electromagnetic waves via a core
US9680670B2 (en) 2014-11-20 2017-06-13 At&T Intellectual Property I, L.P. Transmission device with channel equalization and control and methods for use therewith
US10353944B2 (en) * 2014-11-24 2019-07-16 RCRDCLUB Corporation User-specific media playlists
US20160154481A1 (en) * 2014-12-02 2016-06-02 Comcast Cable Communications, Llc Intelligent illumination of controllers
US9961408B2 (en) * 2014-12-17 2018-05-01 Echostar Technologies L.L.C. Apparatus, systems and methods for video output brightness adjustment
ES2976132T3 (en) * 2014-12-22 2024-07-24 Hernandez Mondragon Edwin A Method, system and apparatus for delivering multimedia content to cable and satellite television operators
US9911395B1 (en) * 2014-12-23 2018-03-06 Amazon Technologies, Inc. Glare correction via pixel processing
US10275141B2 (en) * 2014-12-31 2019-04-30 Dish Technologies Llc Systems and methods for overlaying a digital mini guide onto a video stream
USD777187S1 (en) * 2015-01-15 2017-01-24 Charter Communications Operating, Llc Display screen or portion thereof with graphical user interface
USD777746S1 (en) * 2015-01-15 2017-01-31 Charter Communications Operating, Llc Display screen or portion thereof with graphical user interface
US10144036B2 (en) 2015-01-30 2018-12-04 At&T Intellectual Property I, L.P. Method and apparatus for mitigating interference affecting a propagation of electromagnetic waves guided by a transmission medium
US10009761B2 (en) * 2015-02-06 2018-06-26 Qualcomm Incorporated Apparatus and method having broadcast key rotation
US9876570B2 (en) 2015-02-20 2018-01-23 At&T Intellectual Property I, Lp Guided-wave transmission device with non-fundamental mode propagation and methods for use therewith
US10152299B2 (en) 2015-03-06 2018-12-11 Apple Inc. Reducing response latency of intelligent automated assistants
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
CN106033418B (en) 2015-03-10 2020-01-31 阿里巴巴集团控股有限公司 Voice adding and playing method and device, and picture classifying and retrieving method and device
US9749013B2 (en) 2015-03-17 2017-08-29 At&T Intellectual Property I, L.P. Method and apparatus for reducing attenuation of electromagnetic waves guided by a transmission medium
KR20160112835A (en) * 2015-03-20 2016-09-28 삼성전자주식회사 Input apparatus, display apparatus and control method thereof
US10503999B2 (en) * 2015-03-24 2019-12-10 Hrl Laboratories, Llc System for detecting salient objects in images
US9681525B2 (en) 2015-04-02 2017-06-13 Elwha Llc Systems and methods for controlling lighting based on a display
US9678494B2 (en) * 2015-04-02 2017-06-13 Elwha Llc Systems and methods for controlling lighting based on a display
US9705561B2 (en) 2015-04-24 2017-07-11 At&T Intellectual Property I, L.P. Directional coupling device and methods for use therewith
US10224981B2 (en) 2015-04-24 2019-03-05 At&T Intellectual Property I, Lp Passive electrical coupling device and methods for use therewith
US9793954B2 (en) 2015-04-28 2017-10-17 At&T Intellectual Property I, L.P. Magnetic coupling device and methods for use therewith
US9948354B2 (en) 2015-04-28 2018-04-17 At&T Intellectual Property I, L.P. Magnetic coupling device with reflective plate and methods for use therewith
US10147388B2 (en) 2015-04-29 2018-12-04 Rovi Guides, Inc. Systems and methods for enhancing viewing experiences of users
US10003778B2 (en) * 2015-04-29 2018-06-19 Rovi Guides, Inc. Systems and methods for augmenting a viewing environment of users
US9490869B1 (en) 2015-05-14 2016-11-08 At&T Intellectual Property I, L.P. Transmission medium having multiple cores and methods for use therewith
US9807459B2 (en) 2015-05-14 2017-10-31 At&T Intellectual Property I, L.P. Media interface device
US9871282B2 (en) 2015-05-14 2018-01-16 At&T Intellectual Property I, L.P. At least one transmission medium having a dielectric surface that is covered at least in part by a second dielectric
US9748626B2 (en) 2015-05-14 2017-08-29 At&T Intellectual Property I, L.P. Plurality of cables having different cross-sectional shapes which are bundled together to form a transmission medium
US10679767B2 (en) 2015-05-15 2020-06-09 At&T Intellectual Property I, L.P. Transmission medium having a conductive material and methods for use therewith
US10460227B2 (en) 2015-05-15 2019-10-29 Apple Inc. Virtual assistant in a communication session
US10650940B2 (en) 2015-05-15 2020-05-12 At&T Intellectual Property I, L.P. Transmission medium having a conductive material and methods for use therewith
US10200824B2 (en) 2015-05-27 2019-02-05 Apple Inc. Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US9917341B2 (en) 2015-05-27 2018-03-13 At&T Intellectual Property I, L.P. Apparatus and method for launching electromagnetic waves and for modifying radial dimensions of the propagating electromagnetic waves
US10348391B2 (en) 2015-06-03 2019-07-09 At&T Intellectual Property I, L.P. Client node device with frequency conversion and methods for use therewith
US10103801B2 (en) 2015-06-03 2018-10-16 At&T Intellectual Property I, L.P. Host node device and methods for use therewith
US9866309B2 (en) 2015-06-03 2018-01-09 At&T Intellectual Property I, Lp Host node device and methods for use therewith
US10812174B2 (en) 2015-06-03 2020-10-20 At&T Intellectual Property I, L.P. Client node device and methods for use therewith
US10154493B2 (en) 2015-06-03 2018-12-11 At&T Intellectual Property I, L.P. Network termination and methods for use therewith
US9912381B2 (en) 2015-06-03 2018-03-06 At&T Intellectual Property I, Lp Network termination and methods for use therewith
WO2016191875A1 (en) * 2015-06-04 2016-12-08 Griffin Innovation Device and method for controlling a plurality of targeted devices
US9578173B2 (en) 2015-06-05 2017-02-21 Apple Inc. Virtual assistant aided communication with 3rd party service in a communication session
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
KR20160144817A (en) * 2015-06-09 2016-12-19 삼성전자주식회사 Display apparatus, pointing apparatus, pointing system and control methods thereof
US9913139B2 (en) 2015-06-09 2018-03-06 At&T Intellectual Property I, L.P. Signal fingerprinting for authentication of communicating devices
US9608692B2 (en) 2015-06-11 2017-03-28 At&T Intellectual Property I, L.P. Repeater and methods for use therewith
US10142086B2 (en) 2015-06-11 2018-11-27 At&T Intellectual Property I, L.P. Repeater and methods for use therewith
US9820146B2 (en) 2015-06-12 2017-11-14 At&T Intellectual Property I, L.P. Method and apparatus for authentication and identity management of communicating devices
US9667317B2 (en) 2015-06-15 2017-05-30 At&T Intellectual Property I, L.P. Method and apparatus for providing security using network traffic adjustments
USD768175S1 (en) 2015-06-22 2016-10-04 Multilearning Group Inc. Display screen with navigation bar for browser-based graphical user interface
USD779546S1 (en) 2015-06-22 2017-02-21 Multilearning Group Inc. Display screen with navigation bar for browser-based graphical user interface
US9640850B2 (en) 2015-06-25 2017-05-02 At&T Intellectual Property I, L.P. Methods and apparatus for inducing a non-fundamental wave mode on a transmission medium
US9865911B2 (en) 2015-06-25 2018-01-09 At&T Intellectual Property I, L.P. Waveguide system for slot radiating first electromagnetic waves that are combined into a non-fundamental wave mode second electromagnetic wave on a transmission medium
US9509415B1 (en) 2015-06-25 2016-11-29 At&T Intellectual Property I, L.P. Methods and apparatus for inducing a fundamental wave mode on a transmission medium
GB2539705B (en) 2015-06-25 2017-10-25 Aimbrain Solutions Ltd Conditional behavioural biometrics
US20160378747A1 (en) 2015-06-29 2016-12-29 Apple Inc. Virtual assistant for media playback
JP6881303B2 (en) * 2015-06-30 2021-06-02 ソニーグループ株式会社 Receiver, receiver, transmitter and transmitter
US11978336B2 (en) 2015-07-07 2024-05-07 Ilumi Solutions, Inc. Wireless control device and methods thereof
EP3320702B1 (en) 2015-07-07 2022-10-19 Ilumi Solutions, Inc. Wireless communication methods
US10339796B2 (en) 2015-07-07 2019-07-02 Ilumi Sulutions, Inc. Wireless control device and methods thereof
EP3799005A1 (en) * 2015-07-07 2021-03-31 Ilumi Solutions, Inc. A method for resetting a device or turning a computer program on
US9836957B2 (en) 2015-07-14 2017-12-05 At&T Intellectual Property I, L.P. Method and apparatus for communicating with premises equipment
US10044409B2 (en) 2015-07-14 2018-08-07 At&T Intellectual Property I, L.P. Transmission medium and methods for use therewith
US10148016B2 (en) 2015-07-14 2018-12-04 At&T Intellectual Property I, L.P. Apparatus and methods for communicating utilizing an antenna array
US10341142B2 (en) 2015-07-14 2019-07-02 At&T Intellectual Property I, L.P. Apparatus and methods for generating non-interfering electromagnetic waves on an uninsulated conductor
US10033108B2 (en) 2015-07-14 2018-07-24 At&T Intellectual Property I, L.P. Apparatus and methods for generating an electromagnetic wave having a wave mode that mitigates interference
US10170840B2 (en) 2015-07-14 2019-01-01 At&T Intellectual Property I, L.P. Apparatus and methods for sending or receiving electromagnetic signals
US10033107B2 (en) 2015-07-14 2018-07-24 At&T Intellectual Property I, L.P. Method and apparatus for coupling an antenna to a device
US9722318B2 (en) 2015-07-14 2017-08-01 At&T Intellectual Property I, L.P. Method and apparatus for coupling an antenna to a device
US9853342B2 (en) 2015-07-14 2017-12-26 At&T Intellectual Property I, L.P. Dielectric transmission medium connector and methods for use therewith
US10205655B2 (en) 2015-07-14 2019-02-12 At&T Intellectual Property I, L.P. Apparatus and methods for communicating utilizing an antenna array and multiple communication paths
US9628116B2 (en) 2015-07-14 2017-04-18 At&T Intellectual Property I, L.P. Apparatus and methods for transmitting wireless signals
US9847566B2 (en) 2015-07-14 2017-12-19 At&T Intellectual Property I, L.P. Method and apparatus for adjusting a field of a signal to mitigate interference
US10320586B2 (en) 2015-07-14 2019-06-11 At&T Intellectual Property I, L.P. Apparatus and methods for generating non-interfering electromagnetic waves on an insulated transmission medium
US9882257B2 (en) 2015-07-14 2018-01-30 At&T Intellectual Property I, L.P. Method and apparatus for launching a wave mode that mitigates interference
US10090606B2 (en) 2015-07-15 2018-10-02 At&T Intellectual Property I, L.P. Antenna system with dielectric array and methods for use therewith
US9608740B2 (en) 2015-07-15 2017-03-28 At&T Intellectual Property I, L.P. Method and apparatus for launching a wave mode that mitigates interference
US9793951B2 (en) 2015-07-15 2017-10-17 At&T Intellectual Property I, L.P. Method and apparatus for launching a wave mode that mitigates interference
US9749053B2 (en) 2015-07-23 2017-08-29 At&T Intellectual Property I, L.P. Node device, repeater and methods for use therewith
US10784670B2 (en) 2015-07-23 2020-09-22 At&T Intellectual Property I, L.P. Antenna support for aligning an antenna
US9871283B2 (en) 2015-07-23 2018-01-16 At&T Intellectual Property I, Lp Transmission medium having a dielectric core comprised of plural members connected by a ball and socket configuration
US9912027B2 (en) 2015-07-23 2018-03-06 At&T Intellectual Property I, L.P. Method and apparatus for exchanging communication signals
US9948333B2 (en) 2015-07-23 2018-04-17 At&T Intellectual Property I, L.P. Method and apparatus for wireless communications to mitigate interference
US9735833B2 (en) 2015-07-31 2017-08-15 At&T Intellectual Property I, L.P. Method and apparatus for communications management in a neighborhood network
US9967173B2 (en) 2015-07-31 2018-05-08 At&T Intellectual Property I, L.P. Method and apparatus for authentication and identity management of communicating devices
US10020587B2 (en) 2015-07-31 2018-07-10 At&T Intellectual Property I, L.P. Radial antenna and methods for use therewith
US10440421B2 (en) * 2015-08-14 2019-10-08 DISH Technologies L.L.C. Apparatus, systems and methods for electronic program guide information presented on a display
CN105898477A (en) * 2015-08-17 2016-08-24 乐视致新电子科技（天津）有限公司 Remote control method, controlled apparatus and remote controller
US10191970B2 (en) * 2015-08-19 2019-01-29 International Business Machines Corporation Systems and methods for customized data parsing and paraphrasing
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10331312B2 (en) 2015-09-08 2019-06-25 Apple Inc. Intelligent automated assistant in a media environment
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10740384B2 (en) 2015-09-08 2020-08-11 Apple Inc. Intelligent automated assistant for media search and playback
US9904535B2 (en) 2015-09-14 2018-02-27 At&T Intellectual Property I, L.P. Method and apparatus for distributing software
US10079661B2 (en) 2015-09-16 2018-09-18 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system having a clock reference
US9705571B2 (en) 2015-09-16 2017-07-11 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system
US10136434B2 (en) 2015-09-16 2018-11-20 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system having an ultra-wideband control channel
US10009901B2 (en) 2015-09-16 2018-06-26 At&T Intellectual Property I, L.P. Method, apparatus, and computer-readable storage medium for managing utilization of wireless resources between base stations
US10051629B2 (en) 2015-09-16 2018-08-14 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system having an in-band reference signal
US10009063B2 (en) 2015-09-16 2018-06-26 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system having an out-of-band reference signal
US10209851B2 (en) * 2015-09-18 2019-02-19 Google Llc Management of inactive windows
US9769128B2 (en) 2015-09-28 2017-09-19 At&T Intellectual Property I, L.P. Method and apparatus for encryption of communications over a network
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US9729197B2 (en) 2015-10-01 2017-08-08 At&T Intellectual Property I, L.P. Method and apparatus for communicating network management traffic over a network
US10074890B2 (en) 2015-10-02 2018-09-11 At&T Intellectual Property I, L.P. Communication device and antenna with integrated light assembly
US9882277B2 (en) 2015-10-02 2018-01-30 At&T Intellectual Property I, Lp Communication device and antenna assembly with actuated gimbal mount
US9876264B2 (en) 2015-10-02 2018-01-23 At&T Intellectual Property I, Lp Communication system, guided wave switch and methods for use therewith
US10891106B2 (en) 2015-10-13 2021-01-12 Google Llc Automatic batch voice commands
US10665942B2 (en) 2015-10-16 2020-05-26 At&T Intellectual Property I, L.P. Method and apparatus for adjusting wireless communications
US10355367B2 (en) 2015-10-16 2019-07-16 At&T Intellectual Property I, L.P. Antenna structure for exchanging wireless signals
US10051483B2 (en) 2015-10-16 2018-08-14 At&T Intellectual Property I, L.P. Method and apparatus for directing wireless signals
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10956666B2 (en) 2015-11-09 2021-03-23 Apple Inc. Unconventional virtual assistant interactions
KR102461584B1 (en) * 2015-11-20 2022-11-02 삼성전자주식회사 Input processing method and device
USD794608S1 (en) * 2015-12-02 2017-08-15 Echostar Technologies L.L.C. Remote control
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
US20170208221A1 (en) * 2016-01-20 2017-07-20 Le Holdings(Beijing)Co., Ltd. Multimedia playing device
US10120437B2 (en) 2016-01-29 2018-11-06 Rovi Guides, Inc. Methods and systems for associating input schemes with physical world objects
KR101771837B1 (en) * 2016-02-17 2017-08-25 (주)휴맥스 Remote controller providing force input in a media system and method of driving the same
US9965247B2 (en) 2016-02-22 2018-05-08 Sonos, Inc. Voice controlled media playback system based on user profile
US10264030B2 (en) 2016-02-22 2019-04-16 Sonos, Inc. Networked microphone device control
US9820039B2 (en) 2016-02-22 2017-11-14 Sonos, Inc. Default playback devices
US9947316B2 (en) 2016-02-22 2018-04-17 Sonos, Inc. Voice control of a media playback system
US10095470B2 (en) 2016-02-22 2018-10-09 Sonos, Inc. Audio response playback
US9811314B2 (en) 2016-02-22 2017-11-07 Sonos, Inc. Metadata exchange involving a networked playback system and a networked microphone system
CN105786252B (en) * 2016-02-29 2019-02-12 上海中航光电子有限公司 The determination method and system of touch device surface touch type
US10394422B2 (en) * 2016-03-01 2019-08-27 Accenture Global Solutions Limited Data interaction cards for capturing and replaying logic in visual analyses
DK201670539A1 (en) * 2016-03-14 2017-10-02 Apple Inc Dictation that allows editing
US9892632B1 (en) * 2016-04-18 2018-02-13 Google Llc Configuring universal remote control device for appliances based on correlation of received infrared signals and detected appliance events
KR101833790B1 (en) * 2016-05-16 2018-04-13 (주)휴맥스 Media system and method of achieving various modes using force input
US11457411B1 (en) * 2016-05-18 2022-09-27 George Hires Sensor connected to a human interface device
US11227589B2 (en) 2016-06-06 2022-01-18 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US12223282B2 (en) 2016-06-09 2025-02-11 Apple Inc. Intelligent automated assistant in a home environment
US9978390B2 (en) 2016-06-09 2018-05-22 Sonos, Inc. Dynamic player selection for audio signal processing
US10586535B2 (en) 2016-06-10 2020-03-10 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
DK201670540A1 (en) 2016-06-11 2018-01-08 Apple Inc Application integration with a digital assistant
DK179415B1 (en) 2016-06-11 2018-06-14 Apple Inc Intelligent device arbitration and control
US12197817B2 (en) 2016-06-11 2025-01-14 Apple Inc. Intelligent device arbitration and control
DK201670582A1 (en) 2016-06-12 2018-01-02 Apple Inc Identifying applications on which content is available
DK201670581A1 (en) 2016-06-12 2018-01-08 Apple Inc Device-level authorization for viewing content
KR102471499B1 (en) * 2016-07-05 2022-11-28 삼성전자주식회사 Image Processing Apparatus and Driving Method Thereof, and Computer Readable Recording Medium
GB2552032B (en) 2016-07-08 2019-05-22 Aimbrain Solutions Ltd Step-up authentication
US10152969B2 (en) 2016-07-15 2018-12-11 Sonos, Inc. Voice detection by multiple devices
US10134399B2 (en) 2016-07-15 2018-11-20 Sonos, Inc. Contextualization of voice inputs
CN106052642A (en) * 2016-07-16 2016-10-26 江南大学 Novel Bluetooth-based wireless level gauge
USD816710S1 (en) 2016-07-20 2018-05-01 Multilearning Group, Inc. Mobile device display screen with transitional graphical user interface
US20180032153A1 (en) * 2016-07-28 2018-02-01 Michael Joshua Samuels Hand-held actuator for control over audio and video communication
US10115400B2 (en) 2016-08-05 2018-10-30 Sonos, Inc. Multiple voice services
US9912419B1 (en) 2016-08-24 2018-03-06 At&T Intellectual Property I, L.P. Method and apparatus for managing a fault in a distributed antenna system
US9860075B1 (en) 2016-08-26 2018-01-02 At&T Intellectual Property I, L.P. Method and communication node for broadband distribution
US10474753B2 (en) 2016-09-07 2019-11-12 Apple Inc. Language identification using recurrent neural networks
US10291311B2 (en) 2016-09-09 2019-05-14 At&T Intellectual Property I, L.P. Method and apparatus for mitigating a fault in a distributed antenna system
CN115297347B (en) * 2016-09-15 2024-08-13 麦克赛尔株式会社 Image display device
US11032819B2 (en) 2016-09-15 2021-06-08 At&T Intellectual Property I, L.P. Method and apparatus for use with a radio distributed antenna system having a control channel reference signal
US10043516B2 (en) 2016-09-23 2018-08-07 Apple Inc. Intelligent automated assistant
USD819683S1 (en) * 2016-09-26 2018-06-05 SZ DJI Technology Co., Ltd. Display screen or portion thereof with animated graphical user interface
USD820863S1 (en) * 2016-09-26 2018-06-19 SZ DJI Technology Co., Ltd. Display screen or portion thereof with graphical user interface
US9942678B1 (en) 2016-09-27 2018-04-10 Sonos, Inc. Audio playback settings for voice interaction
US20180089583A1 (en) * 2016-09-28 2018-03-29 Intel Corporation Training methods for smart object attributes
USD802022S1 (en) * 2016-09-29 2017-11-07 Hangzhou Gubei Electronics Technology Co., Ltd. Intelligent remote control
US10198122B2 (en) * 2016-09-30 2019-02-05 Biocatch Ltd. System, device, and method of estimating force applied to a touch surface
US9743204B1 (en) 2016-09-30 2017-08-22 Sonos, Inc. Multi-orientation playback device microphones
US10135147B2 (en) 2016-10-18 2018-11-20 At&T Intellectual Property I, L.P. Apparatus and methods for launching guided waves via an antenna
US10340600B2 (en) 2016-10-18 2019-07-02 At&T Intellectual Property I, L.P. Apparatus and methods for launching guided waves via plural waveguide systems
US10135146B2 (en) 2016-10-18 2018-11-20 At&T Intellectual Property I, L.P. Apparatus and methods for launching guided waves via circuits
US10181323B2 (en) 2016-10-19 2019-01-15 Sonos, Inc. Arbitration-based voice recognition
US9991580B2 (en) 2016-10-21 2018-06-05 At&T Intellectual Property I, L.P. Launcher and coupling system for guided wave mode cancellation
US10374316B2 (en) 2016-10-21 2019-08-06 At&T Intellectual Property I, L.P. System and dielectric antenna with non-uniform dielectric
US10811767B2 (en) 2016-10-21 2020-10-20 At&T Intellectual Property I, L.P. System and dielectric antenna with convex dielectric radome
US9876605B1 (en) 2016-10-21 2018-01-23 At&T Intellectual Property I, L.P. Launcher and coupling system to support desired guided wave mode
US11966560B2 (en) 2016-10-26 2024-04-23 Apple Inc. User interfaces for browsing content from multiple content applications on an electronic device
US10312567B2 (en) 2016-10-26 2019-06-04 At&T Intellectual Property I, L.P. Launcher with planar strip antenna and methods for use therewith
US10108345B2 (en) 2016-11-02 2018-10-23 Samsung Electronics Co., Ltd. Victim stream selection algorithms in the multi-stream scheme
US10579784B2 (en) 2016-11-02 2020-03-03 Biocatch Ltd. System, device, and method of secure utilization of fingerprints for user authentication
US10224634B2 (en) 2016-11-03 2019-03-05 At&T Intellectual Property I, L.P. Methods and apparatus for adjusting an operational characteristic of an antenna
US10498044B2 (en) 2016-11-03 2019-12-03 At&T Intellectual Property I, L.P. Apparatus for configuring a surface of an antenna
US10291334B2 (en) 2016-11-03 2019-05-14 At&T Intellectual Property I, L.P. System for detecting a fault in a communication system
US10225025B2 (en) 2016-11-03 2019-03-05 At&T Intellectual Property I, L.P. Method and apparatus for detecting a fault in a communication system
KR102495235B1 (en) * 2016-11-22 2023-02-02 삼성전자주식회사 Electronic apparatus and power controllign method of thereof
US10535928B2 (en) 2016-11-23 2020-01-14 At&T Intellectual Property I, L.P. Antenna system and methods for use therewith
US10090594B2 (en) 2016-11-23 2018-10-02 At&T Intellectual Property I, L.P. Antenna system having structural configurations for assembly
US10340603B2 (en) 2016-11-23 2019-07-02 At&T Intellectual Property I, L.P. Antenna system having shielded structural configurations for assembly
US10340601B2 (en) 2016-11-23 2019-07-02 At&T Intellectual Property I, L.P. Multi-antenna system and methods for use therewith
US10178445B2 (en) 2016-11-23 2019-01-08 At&T Intellectual Property I, L.P. Methods, devices, and systems for load balancing between a plurality of waveguides
US10361489B2 (en) 2016-12-01 2019-07-23 At&T Intellectual Property I, L.P. Dielectric dish antenna system and methods for use therewith
US10305190B2 (en) 2016-12-01 2019-05-28 At&T Intellectual Property I, L.P. Reflecting dielectric antenna system and methods for use therewith
US11281993B2 (en) 2016-12-05 2022-03-22 Apple Inc. Model and ensemble compression for metric learning
US10755542B2 (en) 2016-12-06 2020-08-25 At&T Intellectual Property I, L.P. Method and apparatus for surveillance via guided wave communication
US10727599B2 (en) 2016-12-06 2020-07-28 At&T Intellectual Property I, L.P. Launcher with slot antenna and methods for use therewith
US10326494B2 (en) 2016-12-06 2019-06-18 At&T Intellectual Property I, L.P. Apparatus for measurement de-embedding and methods for use therewith
US10637149B2 (en) 2016-12-06 2020-04-28 At&T Intellectual Property I, L.P. Injection molded dielectric antenna and methods for use therewith
US10135145B2 (en) 2016-12-06 2018-11-20 At&T Intellectual Property I, L.P. Apparatus and methods for generating an electromagnetic wave along a transmission medium
US10382976B2 (en) 2016-12-06 2019-08-13 At&T Intellectual Property I, L.P. Method and apparatus for managing wireless communications based on communication paths and network device positions
US10819035B2 (en) 2016-12-06 2020-10-27 At&T Intellectual Property I, L.P. Launcher with helical antenna and methods for use therewith
US9927517B1 (en) 2016-12-06 2018-03-27 At&T Intellectual Property I, L.P. Apparatus and methods for sensing rainfall
US10439675B2 (en) 2016-12-06 2019-10-08 At&T Intellectual Property I, L.P. Method and apparatus for repeating guided wave communication signals
US10020844B2 (en) 2016-12-06 2018-07-10 T&T Intellectual Property I, L.P. Method and apparatus for broadcast communication via guided waves
US10694379B2 (en) 2016-12-06 2020-06-23 At&T Intellectual Property I, L.P. Waveguide system with device-based authentication and methods for use therewith
US10027397B2 (en) 2016-12-07 2018-07-17 At&T Intellectual Property I, L.P. Distributed antenna system and methods for use therewith
US10168695B2 (en) 2016-12-07 2019-01-01 At&T Intellectual Property I, L.P. Method and apparatus for controlling an unmanned aircraft
US10547348B2 (en) 2016-12-07 2020-01-28 At&T Intellectual Property I, L.P. Method and apparatus for switching transmission mediums in a communication system
US10243270B2 (en) 2016-12-07 2019-03-26 At&T Intellectual Property I, L.P. Beam adaptive multi-feed dielectric antenna system and methods for use therewith
US10446936B2 (en) 2016-12-07 2019-10-15 At&T Intellectual Property I, L.P. Multi-feed dielectric antenna system and methods for use therewith
US10139820B2 (en) 2016-12-07 2018-11-27 At&T Intellectual Property I, L.P. Method and apparatus for deploying equipment of a communication system
US10359749B2 (en) 2016-12-07 2019-07-23 At&T Intellectual Property I, L.P. Method and apparatus for utilities management via guided wave communication
US9893795B1 (en) 2016-12-07 2018-02-13 At&T Intellectual Property I, Lp Method and repeater for broadband distribution
US10389029B2 (en) 2016-12-07 2019-08-20 At&T Intellectual Property I, L.P. Multi-feed dielectric antenna system with core selection and methods for use therewith
US10530505B2 (en) 2016-12-08 2020-01-07 At&T Intellectual Property I, L.P. Apparatus and methods for launching electromagnetic waves along a transmission medium
US9998870B1 (en) 2016-12-08 2018-06-12 At&T Intellectual Property I, L.P. Method and apparatus for proximity sensing
US10389037B2 (en) 2016-12-08 2019-08-20 At&T Intellectual Property I, L.P. Apparatus and methods for selecting sections of an antenna array and use therewith
US10777873B2 (en) 2016-12-08 2020-09-15 At&T Intellectual Property I, L.P. Method and apparatus for mounting network devices
US10326689B2 (en) 2016-12-08 2019-06-18 At&T Intellectual Property I, L.P. Method and system for providing alternative communication paths
US10411356B2 (en) 2016-12-08 2019-09-10 At&T Intellectual Property I, L.P. Apparatus and methods for selectively targeting communication devices with an antenna array
US10069535B2 (en) 2016-12-08 2018-09-04 At&T Intellectual Property I, L.P. Apparatus and methods for launching electromagnetic waves having a certain electric field structure
US10103422B2 (en) 2016-12-08 2018-10-16 At&T Intellectual Property I, L.P. Method and apparatus for mounting network devices
US9911020B1 (en) 2016-12-08 2018-03-06 At&T Intellectual Property I, L.P. Method and apparatus for tracking via a radio frequency identification device
US10916969B2 (en) 2016-12-08 2021-02-09 At&T Intellectual Property I, L.P. Method and apparatus for providing power using an inductive coupling
US10938108B2 (en) 2016-12-08 2021-03-02 At&T Intellectual Property I, L.P. Frequency selective multi-feed dielectric antenna system and methods for use therewith
US10601494B2 (en) 2016-12-08 2020-03-24 At&T Intellectual Property I, L.P. Dual-band communication device and method for use therewith
US9838896B1 (en) 2016-12-09 2017-12-05 At&T Intellectual Property I, L.P. Method and apparatus for assessing network coverage
US10340983B2 (en) 2016-12-09 2019-07-02 At&T Intellectual Property I, L.P. Method and apparatus for surveying remote sites via guided wave communications
US10264586B2 (en) 2016-12-09 2019-04-16 At&T Mobility Ii Llc Cloud-based packet controller and methods for use therewith
US20180267624A1 (en) * 2016-12-16 2018-09-20 Logitech Europe S.A. Systems and methods for spotlight effect manipulation
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US10621773B2 (en) 2016-12-30 2020-04-14 Google Llc Rendering content in a 3D environment
KR20180081390A (en) * 2017-01-06 2018-07-16 삼성전자주식회사 Image display device and operating method for the same
US11204787B2 (en) 2017-01-09 2021-12-21 Apple Inc. Application integration with a digital assistant
JP2018117311A (en) * 2017-01-20 2018-07-26 ソニー株式会社 Control method, program, and controller
US11042262B2 (en) * 2017-02-01 2021-06-22 Opentv, Inc. Menu modification based on controller manipulation data
US9973940B1 (en) 2017-02-27 2018-05-15 At&T Intellectual Property I, L.P. Apparatus and methods for dynamic impedance matching of a guided wave launcher
US10681414B2 (en) 2017-02-28 2020-06-09 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from different marginal rating unions
US10728614B2 (en) * 2017-02-28 2020-07-28 The Nielsen Company (Us), Llc Methods and apparatus to replicate panelists using a local minimum solution of an integer least squares problem
US20180249211A1 (en) 2017-02-28 2018-08-30 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from marginal ratings
US10602224B2 (en) 2017-02-28 2020-03-24 The Nielsen Company (Us), Llc Methods and apparatus to determine synthetic respondent level data
US10298293B2 (en) 2017-03-13 2019-05-21 At&T Intellectual Property I, L.P. Apparatus of communication utilizing wireless network devices
USD903559S1 (en) * 2017-03-16 2020-12-01 Nio Nextev Limited Voice assistant
US11183181B2 (en) 2017-03-27 2021-11-23 Sonos, Inc. Systems and methods of multiple voice services
US10868857B2 (en) 2017-04-21 2020-12-15 Johnson Controls Technology Company Building management system with distributed data collection and gateway services
CN108806219A (en) * 2017-04-28 2018-11-13 数码士有限公司 Detection level based on remote control keys provides the image processing terminal and method of service
CN108810592A (en) * 2017-04-28 2018-11-13 数码士有限公司 The remote controler and its driving method of strength input are provided in media system
DK201770383A1 (en) 2017-05-09 2018-12-14 Apple Inc. User interface for correcting recognition errors
US10417266B2 (en) 2017-05-09 2019-09-17 Apple Inc. Context-aware ranking of intelligent response suggestions
DK201770439A1 (en) 2017-05-11 2018-12-13 Apple Inc. Offline personal assistant
US10395654B2 (en) 2017-05-11 2019-08-27 Apple Inc. Text normalization based on a data-driven learning network
DK180048B1 (en) 2017-05-11 2020-02-04 Apple Inc. MAINTAINING THE DATA PROTECTION OF PERSONAL INFORMATION
US10726832B2 (en) 2017-05-11 2020-07-28 Apple Inc. Maintaining privacy of personal information
US11301477B2 (en) 2017-05-12 2022-04-12 Apple Inc. Feedback analysis of a digital assistant
DK179496B1 (en) 2017-05-12 2019-01-15 Apple Inc. USER-SPECIFIC Acoustic Models
DK179745B1 (en) 2017-05-12 2019-05-01 Apple Inc. SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT
DK201770428A1 (en) 2017-05-12 2019-02-18 Apple Inc. Low-latency intelligent automated assistant
DK201770411A1 (en) 2017-05-15 2018-12-20 Apple Inc. MULTI-MODAL INTERFACES
DK201770432A1 (en) 2017-05-15 2018-12-21 Apple Inc. Hierarchical belief states for digital assistants
DK201770431A1 (en) 2017-05-15 2018-12-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
US20180336892A1 (en) 2017-05-16 2018-11-22 Apple Inc. Detecting a trigger of a digital assistant
US20180336275A1 (en) 2017-05-16 2018-11-22 Apple Inc. Intelligent automated assistant for media exploration
DK179560B1 (en) 2017-05-16 2019-02-18 Apple Inc. Far-field extension for digital assistant services
US10311144B2 (en) 2017-05-16 2019-06-04 Apple Inc. Emoji word sense disambiguation
US10403278B2 (en) 2017-05-16 2019-09-03 Apple Inc. Methods and systems for phonetic matching in digital assistant services
US10657328B2 (en) 2017-06-02 2020-05-19 Apple Inc. Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling
EP3635631A4 (en) * 2017-06-07 2021-03-03 HRL Laboratories, LLC SYSTEM FOR THE DETECTION OF HIGHLIGHTS IN IMAGES
US10333810B2 (en) 2017-06-09 2019-06-25 Johnson Controls Technology Company Control system with asynchronous wireless data transmission
US10739028B2 (en) * 2017-06-09 2020-08-11 Johnson Controls Technology Company Thermostat with efficient wireless data transmission
US10382818B2 (en) 2017-06-27 2019-08-13 The Nielson Company (Us), Llc Methods and apparatus to determine synthetic respondent level data using constrained Markov chains
US10039074B1 (en) * 2017-07-06 2018-07-31 Bose Corporation Locating connected devices
US10444336B2 (en) 2017-07-06 2019-10-15 Bose Corporation Determining location/orientation of an audio device
US11048325B2 (en) 2017-07-10 2021-06-29 Samsung Electronics Co., Ltd. Wearable augmented reality head mounted display device for phone content display and health monitoring
US10397262B2 (en) 2017-07-20 2019-08-27 Biocatch Ltd. Device, system, and method of detecting overlay malware
KR20190011531A (en) 2017-07-25 2019-02-07 삼성전자주식회사 Display device, remote control device, display system comprising the same and distance measurement method thereof
EP3435659A1 (en) * 2017-07-26 2019-01-30 Koninklijke Philips N.V. Automatic video source detection
KR101996725B1 (en) * 2017-08-07 2019-10-01 주식회사 엘지유플러스 IoT HUB AND THE OPERATING METHOD THEREOF
US10475449B2 (en) 2017-08-07 2019-11-12 Sonos, Inc. Wake-word detection suppression
CN109389814A (en) * 2017-08-11 2019-02-26 富泰华工业（深圳）有限公司 Remote control device and control method
CN107396168B (en) * 2017-08-24 2021-01-26 四川长虹电器股份有限公司 Television live broadcasting system capable of configuring launchers
KR102335869B1 (en) 2017-08-31 2021-12-07 삼성전자주식회사 Electronic apparatus, input device and method for control thereof
US10048930B1 (en) 2017-09-08 2018-08-14 Sonos, Inc. Dynamic computation of system response volume
US10445429B2 (en) 2017-09-21 2019-10-15 Apple Inc. Natural language understanding using vocabularies with compressed serialized tries
US10446165B2 (en) 2017-09-27 2019-10-15 Sonos, Inc. Robust short-time fourier transform acoustic echo cancellation during audio playback
US10621981B2 (en) 2017-09-28 2020-04-14 Sonos, Inc. Tone interference cancellation
US10051366B1 (en) 2017-09-28 2018-08-14 Sonos, Inc. Three-dimensional beam forming with a microphone array
US10482868B2 (en) 2017-09-28 2019-11-19 Sonos, Inc. Multi-channel acoustic echo cancellation
US10466962B2 (en) 2017-09-29 2019-11-05 Sonos, Inc. Media playback system with voice assistance
US10755051B2 (en) 2017-09-29 2020-08-25 Apple Inc. Rule-based natural language processing
KR102053367B1 (en) * 2017-10-11 2019-12-09 오익재 Wearable Interface Device
JP2019087066A (en) * 2017-11-08 2019-06-06 シャープ株式会社 Remote controller, server, information processing method, and network system
CN111201534A (en) * 2017-11-09 2020-05-26 株式会社越知 Additional information superimposing program, additional information superimposing method, and additional information superimposing apparatus
FR3073622B1 (en) * 2017-11-13 2021-06-25 Sas Joyeuse METHOD OF ORDERING A PORTABLE OBJECT AND PORTABLE OBJECT CONTROLLED BY SUCH A PROCESS
KR102014806B1 (en) * 2017-11-21 2019-08-27 주식회사 케이티 Device, sever and computer program for providing changeable promotion chanel
US10949642B2 (en) 2017-11-24 2021-03-16 Integrated Biometrics, Llc Method for capture of a fingerprint using an electro-optical material
US10636424B2 (en) 2017-11-30 2020-04-28 Apple Inc. Multi-turn canned dialog
WO2019111515A1 (en) * 2017-12-08 2019-06-13 パナソニックＩｐマネジメント株式会社 Input device and input method
US10880650B2 (en) 2017-12-10 2020-12-29 Sonos, Inc. Network microphone devices with automatic do not disturb actuation capabilities
CN109920220B (en) * 2017-12-11 2021-07-30 深圳市海洋王铁路照明技术有限公司 Intelligent inspection device and system
US10818290B2 (en) 2017-12-11 2020-10-27 Sonos, Inc. Home graph
CN108024150A (en) * 2017-12-12 2018-05-11 青岛海信电器股份有限公司 Control method and smart television for quick turn-on in smart television
US10212532B1 (en) 2017-12-13 2019-02-19 At&T Intellectual Property I, L.P. Immersive media with media device
US10733982B2 (en) 2018-01-08 2020-08-04 Apple Inc. Multi-directional dialog
DE102018200407A1 (en) * 2018-01-11 2019-07-11 Audi Ag Mobile, portable operating device, and method of operating a device using the portable mobile operating device
WO2019152722A1 (en) 2018-01-31 2019-08-08 Sonos, Inc. Device designation of playback and network microphone device arrangements
US10733375B2 (en) 2018-01-31 2020-08-04 Apple Inc. Knowledge-based framework for improving natural language understanding
KR102423058B1 (en) 2018-02-23 2022-07-21 삼성전자주식회사 Display Device and the Method for identifying Preference based on Internet of Things
FR3078576A1 (en) 2018-03-02 2019-09-06 Orange DEVICE FOR REMOTING AN APPARATUS
US10789959B2 (en) 2018-03-02 2020-09-29 Apple Inc. Training speaker recognition models for digital assistants
US10592604B2 (en) 2018-03-12 2020-03-17 Apple Inc. Inverse text normalization for automatic speech recognition
US10818288B2 (en) 2018-03-26 2020-10-27 Apple Inc. Natural assistant interaction
US10909331B2 (en) 2018-03-30 2021-02-02 Apple Inc. Implicit identification of translation payload with neural machine translation
WO2019189068A1 (en) * 2018-03-30 2019-10-03 パナソニックＩｐマネジメント株式会社 Renderer device, renderer reproduction system and updating method
US11145294B2 (en) 2018-05-07 2021-10-12 Apple Inc. Intelligent automated assistant for delivering content from user experiences
US10928918B2 (en) 2018-05-07 2021-02-23 Apple Inc. Raise to speak
US11175880B2 (en) 2018-05-10 2021-11-16 Sonos, Inc. Systems and methods for voice-assisted media content selection
US10873727B2 (en) * 2018-05-14 2020-12-22 COMSATS University Islamabad Surveillance system
US10847178B2 (en) 2018-05-18 2020-11-24 Sonos, Inc. Linear filtering for noise-suppressed speech detection
DE102019113133A1 (en) * 2018-05-18 2019-11-21 Logitech Europe S.A. SYSTEMS AND METHOD FOR INFLUENCING SPOTLIGHT EFFECTS_
US10984780B2 (en) 2018-05-21 2021-04-20 Apple Inc. Global semantic word embeddings using bi-directional recurrent neural networks
CN108845688B (en) * 2018-05-24 2021-05-04 杭州吉吉知识产权运营有限公司 Key operation judgment method and system
US10959029B2 (en) 2018-05-25 2021-03-23 Sonos, Inc. Determining and adapting to changes in microphone performance of playback devices
DK179822B1 (en) 2018-06-01 2019-07-12 Apple Inc. Voice interaction at a primary device to access call functionality of a companion device
US11386266B2 (en) 2018-06-01 2022-07-12 Apple Inc. Text correction
DK201870355A1 (en) 2018-06-01 2019-12-16 Apple Inc. Virtual assistant operation in multi-device environments
DK180639B1 (en) 2018-06-01 2021-11-04 Apple Inc DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT
US10892996B2 (en) 2018-06-01 2021-01-12 Apple Inc. Variable latency device coordination
US10504518B1 (en) 2018-06-03 2019-12-10 Apple Inc. Accelerated task performance
US10681460B2 (en) 2018-06-28 2020-06-09 Sonos, Inc. Systems and methods for associating playback devices with voice assistant services
JP7055721B2 (en) * 2018-08-27 2022-04-18 京セラ株式会社 Electronic devices with voice recognition functions, control methods and programs for those electronic devices
US10461710B1 (en) 2018-08-28 2019-10-29 Sonos, Inc. Media playback system with maximum volume setting
US11076035B2 (en) 2018-08-28 2021-07-27 Sonos, Inc. Do not disturb feature for audio notifications
US10587430B1 (en) 2018-09-14 2020-03-10 Sonos, Inc. Networked devices, systems, and methods for associating playback devices based on sound codes
US10878811B2 (en) 2018-09-14 2020-12-29 Sonos, Inc. Networked devices, systems, and methods for intelligently deactivating wake-word engines
US11024331B2 (en) 2018-09-21 2021-06-01 Sonos, Inc. Voice detection optimization using sound metadata
KR102585244B1 (en) 2018-09-21 2023-10-06 삼성전자주식회사 Electronic apparatus and control method thereof
US10811015B2 (en) 2018-09-25 2020-10-20 Sonos, Inc. Voice detection optimization based on selected voice assistant service
US11010561B2 (en) 2018-09-27 2021-05-18 Apple Inc. Sentiment prediction from textual data
US10839159B2 (en) 2018-09-28 2020-11-17 Apple Inc. Named entity normalization in a spoken dialog system
US11100923B2 (en) 2018-09-28 2021-08-24 Sonos, Inc. Systems and methods for selective wake word detection using neural network models
US11170166B2 (en) 2018-09-28 2021-11-09 Apple Inc. Neural typographical error modeling via generative adversarial networks
US11462215B2 (en) 2018-09-28 2022-10-04 Apple Inc. Multi-modal inputs for voice commands
US10692518B2 (en) 2018-09-29 2020-06-23 Sonos, Inc. Linear filtering for noise-suppressed speech detection via multiple network microphone devices
JP7084274B2 (en) 2018-10-18 2022-06-14 マクセル株式会社 Video display device
US11899519B2 (en) 2018-10-23 2024-02-13 Sonos, Inc. Multiple stage network microphone device with reduced power consumption and processing load
US11475898B2 (en) 2018-10-26 2022-10-18 Apple Inc. Low-latency multi-speaker speech recognition
EP3654249A1 (en) 2018-11-15 2020-05-20 Snips Dilated convolutions and gating for efficient keyword spotting
US11183183B2 (en) 2018-12-07 2021-11-23 Sonos, Inc. Systems and methods of operating media playback systems having multiple voice assistant services
US10573296B1 (en) * 2018-12-10 2020-02-25 Apprente Llc Reconciliation between simulator and speech recognition output using sequence-to-sequence mapping
US11132989B2 (en) 2018-12-13 2021-09-28 Sonos, Inc. Networked microphone devices, systems, and methods of localized arbitration
KR102664399B1 (en) 2018-12-20 2024-05-14 삼성전자주식회사 Spatial audio recording device, spatial audio recording method and electronic apparatus including the spatial audio sensor
US10602268B1 (en) 2018-12-20 2020-03-24 Sonos, Inc. Optimization of network microphone devices using noise classification
USD997952S1 (en) 2018-12-21 2023-09-05 Streamlayer, Inc. Display screen with transitional graphical user interface
US11770579B2 (en) 2018-12-21 2023-09-26 Streamlayer, Inc. Method and system for providing interactive content delivery and audience engagement
US11079911B2 (en) * 2018-12-26 2021-08-03 Synaptics Incorporated Enrollment-free offline device personalization
KR102185576B1 (en) * 2018-12-27 2020-12-02 주식회사 엔씨소프트 Smart controler, apparatus for controling user terminal, and method for controling user terminal
US11638059B2 (en) 2019-01-04 2023-04-25 Apple Inc. Content playback on multiple devices
US10867604B2 (en) 2019-02-08 2020-12-15 Sonos, Inc. Devices, systems, and methods for distributed voice processing
US11315556B2 (en) 2019-02-08 2022-04-26 Sonos, Inc. Devices, systems, and methods for distributed voice processing by transmitting sound data associated with a wake word to an appropriate device for identification
US10856027B2 (en) 2019-03-15 2020-12-01 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from different marginal rating unions
US11216834B2 (en) 2019-03-15 2022-01-04 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from different marginal ratings and/or unions of marginal ratings based on impression data
US11348573B2 (en) 2019-03-18 2022-05-31 Apple Inc. Multimodality in digital assistant systems
CN114297620A (en) 2019-03-24 2022-04-08 苹果公司 User interface for media browsing application
US11057682B2 (en) 2019-03-24 2021-07-06 Apple Inc. User interfaces including selectable representations of content items
EP3928526A1 (en) 2019-03-24 2021-12-29 Apple Inc. User interfaces for viewing and accessing content on an electronic device
US11683565B2 (en) 2019-03-24 2023-06-20 Apple Inc. User interfaces for interacting with channels that provide content that plays in a media browsing application
USD951267S1 (en) 2019-04-09 2022-05-10 Streamlayer, Inc. Display screen with a transitional graphical user interface for an interactive content overlay
DE102019205205B3 (en) * 2019-04-11 2020-09-03 BSH Hausgeräte GmbH Interaction device
JP7194292B2 (en) * 2019-04-17 2022-12-21 アップル インコーポレイテッド radio localizable tag
US11120794B2 (en) 2019-05-03 2021-09-14 Sonos, Inc. Voice assistant persistence across multiple network microphone devices
DK201970509A1 (en) 2019-05-06 2021-01-15 Apple Inc Spoken notifications
US11482217B2 (en) * 2019-05-06 2022-10-25 Google Llc Selectively activating on-device speech recognition, and using recognized text in selectively activating on-device NLU and/or on-device fulfillment
US11475884B2 (en) 2019-05-06 2022-10-18 Apple Inc. Reducing digital assistant latency when a language is incorrectly determined
US11423908B2 (en) 2019-05-06 2022-08-23 Apple Inc. Interpreting spoken requests
US11307752B2 (en) 2019-05-06 2022-04-19 Apple Inc. User configurable task triggers
US11140099B2 (en) 2019-05-21 2021-10-05 Apple Inc. Providing message response suggestions
DK180129B1 (en) 2019-05-31 2020-06-02 Apple Inc. USER ACTIVITY SHORTCUT SUGGESTIONS
US11496600B2 (en) 2019-05-31 2022-11-08 Apple Inc. Remote execution of machine-learned models
EP3977245A1 (en) 2019-05-31 2022-04-06 Apple Inc. User interfaces for a podcast browsing and playback application
DK201970510A1 (en) 2019-05-31 2021-02-11 Apple Inc Voice identification in digital assistant systems
US11289073B2 (en) 2019-05-31 2022-03-29 Apple Inc. Device text to speech
US11863837B2 (en) 2019-05-31 2024-01-02 Apple Inc. Notification of augmented reality content on an electronic device
US11360641B2 (en) 2019-06-01 2022-06-14 Apple Inc. Increasing the relevance of new available information
US11468890B2 (en) 2019-06-01 2022-10-11 Apple Inc. Methods and user interfaces for voice-based control of electronic devices
US10586540B1 (en) 2019-06-12 2020-03-10 Sonos, Inc. Network microphone device with command keyword conditioning
US11200894B2 (en) 2019-06-12 2021-12-14 Sonos, Inc. Network microphone device with command keyword eventing
US11361756B2 (en) 2019-06-12 2022-06-14 Sonos, Inc. Conditional wake word eventing based on environment
KR102626924B1 (en) 2019-06-20 2024-01-19 삼성전자주식회사 Directional acoustic sensor and, method for adjusting directional characteristic and method for attenuating acoustic signal of specific direction using the directional acoustic sensor
US11500609B2 (en) * 2019-07-23 2022-11-15 Samsung Electronics Co., Ltd. Audio signal control based on noise associated with state information received from an external device
US11138975B2 (en) 2019-07-31 2021-10-05 Sonos, Inc. Locally distributed keyword detection
US11138969B2 (en) 2019-07-31 2021-10-05 Sonos, Inc. Locally distributed keyword detection
US10871943B1 (en) 2019-07-31 2020-12-22 Sonos, Inc. Noise classification for event detection
DE102019211659A1 (en) * 2019-08-02 2021-02-04 Audi Ag Operating device for operating a motor vehicle system, method for operating a motor vehicle system by means of an operating device, and motor vehicle
CN110557741B (en) * 2019-08-05 2021-08-13 华为技术有限公司 Terminal interaction method and terminal
US11438452B1 (en) 2019-08-09 2022-09-06 Apple Inc. Propagating context information in a privacy preserving manner
CN110568402A (en) * 2019-09-04 2019-12-13 京东方科技集团股份有限公司 electronic equipment, space positioning system and method
USD924923S1 (en) * 2019-09-11 2021-07-13 Disney Enterprises, Inc. Display screen or portion thereof with graphical user interface
US11488406B2 (en) 2019-09-25 2022-11-01 Apple Inc. Text detection using global geometry estimators
RU197063U1 (en) * 2019-10-02 2020-03-27 Владимир Юрьевич Гечухин Remote control
EP4008104A4 (en) * 2019-10-16 2023-08-16 Streamlayer Inc. METHOD AND SYSTEM FOR PROVIDING INTERACTIVE CONTENT DELIVERY AND AUDIENCE ENGAGEMENT
US11189286B2 (en) 2019-10-22 2021-11-30 Sonos, Inc. VAS toggle based on device orientation
US11741485B2 (en) 2019-11-06 2023-08-29 The Nielsen Company (Us), Llc Methods and apparatus to estimate de-duplicated unknown total audience sizes based on partial information of known audiences
US11200900B2 (en) 2019-12-20 2021-12-14 Sonos, Inc. Offline voice control
US11562740B2 (en) 2020-01-07 2023-01-24 Sonos, Inc. Voice verification for media playback
US11556307B2 (en) 2020-01-31 2023-01-17 Sonos, Inc. Local voice data processing
US11308958B2 (en) 2020-02-07 2022-04-19 Sonos, Inc. Localized wakeword verification
KR102319014B1 (en) * 2020-02-12 2021-10-29 한국과학기술원 Method for providing user-custromized tip contents based on photo application and system therefore
US11843838B2 (en) 2020-03-24 2023-12-12 Apple Inc. User interfaces for accessing episodes of a content series
US11540025B2 (en) * 2020-03-27 2022-12-27 Lenovo (Singapore) Pte. Ltd. Video feed access determination
US20210319474A1 (en) 2020-04-08 2021-10-14 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from marginals
US11061543B1 (en) 2020-05-11 2021-07-13 Apple Inc. Providing relevant data items based on context
US11183193B1 (en) 2020-05-11 2021-11-23 Apple Inc. Digital assistant hardware abstraction
US11805176B1 (en) * 2020-05-11 2023-10-31 Apple Inc. Toolbox and context for user interactions
US11755276B2 (en) 2020-05-12 2023-09-12 Apple Inc. Reducing description length based on confidence
US11672934B2 (en) 2020-05-12 2023-06-13 Covidien Lp Remote ventilator adjustment
US11482224B2 (en) 2020-05-20 2022-10-25 Sonos, Inc. Command keywords with input detection windowing
US11308962B2 (en) 2020-05-20 2022-04-19 Sonos, Inc. Input detection windowing
US11727919B2 (en) 2020-05-20 2023-08-15 Sonos, Inc. Memory allocation for keyword spotting engines
US11899895B2 (en) 2020-06-21 2024-02-13 Apple Inc. User interfaces for setting up an electronic device
US11490204B2 (en) 2020-07-20 2022-11-01 Apple Inc. Multi-device audio adjustment coordination
US11438683B2 (en) 2020-07-21 2022-09-06 Apple Inc. User identification using headphones
CA3186695A1 (en) * 2020-07-24 2022-01-27 Nethravathi REDDY System and method for smart device management
CN119322648A (en) * 2020-08-05 2025-01-17 华为技术有限公司 Interaction method between devices based on pointing operation and electronic device
US11783354B2 (en) 2020-08-21 2023-10-10 The Nielsen Company (Us), Llc Methods and apparatus to estimate census level audience sizes, impression counts, and duration data
US11698771B2 (en) 2020-08-25 2023-07-11 Sonos, Inc. Vocal guidance engines for playback devices
US11481802B2 (en) * 2020-08-31 2022-10-25 The Nielsen Company (Us), Llc Methods and apparatus for audience and impression deduplication
US11941646B2 (en) 2020-09-11 2024-03-26 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from marginals
US11206415B1 (en) * 2020-09-14 2021-12-21 Apple Inc. Selectable transcode engine systems and methods
US12093968B2 (en) 2020-09-18 2024-09-17 The Nielsen Company (Us), Llc Methods, systems and apparatus to estimate census-level total impression durations and audience size across demographics
US12120391B2 (en) 2020-09-18 2024-10-15 The Nielsen Company (Us), Llc Methods and apparatus to estimate audience sizes and durations of media accesses
US12283269B2 (en) 2020-10-16 2025-04-22 Sonos, Inc. Intent inference in audiovisual communication sessions
US11343558B1 (en) * 2020-11-11 2022-05-24 Google Llc Systems, methods, and media for providing an enhanced remote control that synchronizes with media content presentation
US11984123B2 (en) 2020-11-12 2024-05-14 Sonos, Inc. Network device interaction by range
US11553226B2 (en) 2020-11-16 2023-01-10 The Nielsen Company (Us), Llc Methods and apparatus to estimate population reach from marginal ratings with missing information
US11720229B2 (en) 2020-12-07 2023-08-08 Apple Inc. User interfaces for browsing and presenting content
EP4258686A4 (en) 2021-01-13 2024-06-05 Samsung Electronics Co., Ltd. ELECTRONIC DEVICE FOR MEASURING THE POSTURE OF A USER AND METHOD THEREFOR
US11670160B1 (en) * 2021-01-15 2023-06-06 Mu-Chen Tami Multi-function remote control
US11551700B2 (en) 2021-01-25 2023-01-10 Sonos, Inc. Systems and methods for power-efficient keyword detection
US11934640B2 (en) 2021-01-29 2024-03-19 Apple Inc. User interfaces for record labels
WO2022170204A1 (en) 2021-02-08 2022-08-11 The Nielsen Company (Us), Llc Methods and apparatus to perform computer-based monitoring of audiences of network-based media by using information theory to estimate intermediate level unions
US20240389574A1 (en) * 2021-04-09 2024-11-28 Joe Morgan Systems and methods for enhancing location of game in the field
US11731048B2 (en) * 2021-05-03 2023-08-22 Sony Interactive Entertainment LLC Method of detecting idle game controller
US11606353B2 (en) 2021-07-22 2023-03-14 Biocatch Ltd. System, device, and method of generating and utilizing one-time passwords
US11778261B2 (en) 2021-09-14 2023-10-03 Sony Group Corporation Electronic content glossary
WO2023074956A1 (en) * 2021-10-29 2023-05-04 엘지전자 주식회사 System comprising tv and remote control, and control method therefor
US20230142604A1 (en) * 2021-11-10 2023-05-11 Sleep Number Corporation Controlling a bed remotely
US11747954B1 (en) * 2022-03-10 2023-09-05 Samsung Electronics Company, Ltd. Systems and methods for organizing contents in XR environments
CN115344152B (en) * 2022-07-13 2023-09-01 北京奇艺世纪科技有限公司 Interface operation method, device, electronic equipment and readable storage medium
EP4311263A1 (en) * 2022-07-20 2024-01-24 Starkey Laboratories, Inc. Remote-control module for an ear-wearable device
KR102643518B1 (en) * 2023-10-30 2024-03-08 주식회사 에어딥 Intelligent apparatus for controlling air conditioner

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100005083A1 (en) * 2008-07-01 2010-01-07 Xerox Corporation Frequency based keyword extraction method and system using a statistical measure
US20100125875A1 (en) * 2008-11-20 2010-05-20 Comcast Cable Communications, Llc Method and apparatus for delivering video and video-related content at sub-asset level
US20100158470A1 (en) * 2008-12-24 2010-06-24 Comcast Interactive Media, Llc Identification of segments within audio, video, and multimedia items
US8209724B2 (en) * 2007-04-25 2012-06-26 Samsung Electronics Co., Ltd. Method and system for providing access to information of potential interest to a user

Family Cites Families (239)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5267323A (en) * 1989-12-29 1993-11-30 Pioneer Electronic Corporation Voice-operated remote control system
US5243148A (en) * 1990-11-16 1993-09-07 Exzec, Inc. Touch panel for an acoustic touch position sensor using shear wave propagation
JP3202779B2 (en) 1992-03-16 2001-08-27 日本放送協会 Pay-TV broadcast decoder
JP2950528B2 (en) 1992-10-26 1999-09-20 日本電信電話株式会社 Wireless relay system
US5524195A (en) * 1993-05-24 1996-06-04 Sun Microsystems, Inc. Graphical user interface for interactive television with an animated agent
JP3198430B2 (en) * 1994-04-28 2001-08-13 株式会社セガ Switch device and computer system
JP3153720B2 (en) 1994-12-20 2001-04-09 富士通株式会社 Video presentation system
US5594469A (en) * 1995-02-21 1997-01-14 Mitsubishi Electric Information Technology Center America Inc. Hand gesture machine control system
US5880768A (en) * 1995-04-06 1999-03-09 Prevue Networks, Inc. Interactive program guide systems and processes
US5848163A (en) * 1996-02-02 1998-12-08 International Business Machines Corporation Method and apparatus for suppressing background music or noise from the speech input of a speech recognizer
US5848396A (en) * 1996-04-26 1998-12-08 Freedom Of Information, Inc. Method and apparatus for determining behavioral profile of a computer user
US5929849A (en) * 1996-05-02 1999-07-27 Phoenix Technologies, Ltd. Integration of dynamic universal resource locators with television presentations
US6072467A (en) * 1996-05-03 2000-06-06 Mitsubishi Electric Information Technology Center America, Inc. (Ita) Continuously variable control of animated on-screen characters
US5723934A (en) * 1996-08-09 1998-03-03 Toda; Kohji Surface acoustic wave position-sensing device
JP3530710B2 (en) * 1997-05-12 2004-05-24 キヤノン株式会社 Network device control method and apparatus
US6175362B1 (en) * 1997-07-21 2001-01-16 Samsung Electronics Co., Ltd. TV graphical user interface providing selection among various lists of TV channels
US6069567A (en) * 1997-11-25 2000-05-30 Vlsi Technology, Inc. Audio-recording remote control and method therefor
JPH11346392A (en) 1998-01-30 1999-12-14 Sanyo Electric Co Ltd Appliance central management system, appliance central management unit used for this system or terminal for managed device
KR100249992B1 (en) * 1998-02-19 2000-03-15 김규삼 Ground system
US20080055241A1 (en) * 1998-03-26 2008-03-06 Immersion Corporation Systems and Methods for Haptic Feedback Effects for Control Knobs
US20040066940A1 (en) * 2002-10-03 2004-04-08 Silentium Ltd. Method and system for inhibiting noise produced by one or more sources of undesired sound from pickup by a speech recognition unit
US7831930B2 (en) * 2001-11-20 2010-11-09 Universal Electronics Inc. System and method for displaying a user interface for a remote control application
US6721454B1 (en) * 1998-10-09 2004-04-13 Sharp Laboratories Of America, Inc. Method for automatic extraction of semantically significant events from video
US6678891B1 (en) * 1998-11-19 2004-01-13 Prasara Technologies, Inc. Navigational user interface for interactive television
US7209942B1 (en) * 1998-12-28 2007-04-24 Kabushiki Kaisha Toshiba Information providing method and apparatus, and information reception apparatus
US6449485B1 (en) * 1999-01-22 2002-09-10 International Business Machines Corporation Technique for mobile wireless device location
CN1179555C (en) * 1999-02-08 2004-12-08 皇家菲利浦电子有限公司 Method and apparatus for presenting a electronic performance progam
US7130616B2 (en) * 2000-04-25 2006-10-31 Simple Devices System and method for providing content, management, and interactivity for client devices
US6757906B1 (en) 1999-03-30 2004-06-29 Tivo, Inc. Television viewer interface system
JP2000347970A (en) 1999-06-04 2000-12-15 Toshiba Corp Network system and host computer
US6603420B1 (en) * 1999-12-02 2003-08-05 Koninklijke Philips Electronics N.V. Remote control device with motion-based control of receiver volume, channel selection or other parameters
GB9928682D0 (en) 1999-12-06 2000-02-02 Electrotextiles Comp Ltd Input apparatus and a method of generating control signals
US6785329B1 (en) * 1999-12-21 2004-08-31 Microsoft Corporation Automatic video object extraction
US6934862B2 (en) * 2000-01-07 2005-08-23 Robertshaw Controls Company Appliance retrofit monitoring device with a memory storing an electronic signature
US20010008397A1 (en) 2000-01-14 2001-07-19 Nobuhiro Komata Recording medium, method of entering items to be displayed and computer for executing the method
US6956496B1 (en) * 2000-01-18 2005-10-18 Zilog, Inc. Method and apparatus for updating universal remote databases through TV VBI processing
US8578439B1 (en) 2000-01-28 2013-11-05 Koninklijke Philips N.V. Method and apparatus for presentation of intelligent, adaptive alarms, icons and other information
ES2274877T3 (en) * 2000-03-17 2007-06-01 Koninklijke Philips Electronics N.V. METHOD AND APPLIANCE TO DISPLAY A MULTI LEVEL MENU.
EP1205075A2 (en) * 2000-03-21 2002-05-15 Koninklijke Philips Electronics N.V. System and method for automatic content enhancement of multimedia output device
SE0002472L (en) * 2000-06-30 2001-12-31 Nokia Corp Method and apparatus for selection control
US20020069415A1 (en) * 2000-09-08 2002-06-06 Charles Humbard User interface and navigator for interactive television
CN1395797A (en) * 2000-10-10 2003-02-05 皇家菲利浦电子有限公司 Device control via image-based recognition
JP4071433B2 (en) * 2000-10-25 2008-04-02 松下電器産業株式会社 Remote control device and in-vehicle electronic device
US7206029B2 (en) * 2000-12-15 2007-04-17 Koninklijke Philips Electronics N.V. Picture-in-picture repositioning and/or resizing based on video content analysis
US7308653B2 (en) * 2001-01-20 2007-12-11 Catherine Lin-Hendel Automated scrolling of browser content and automated activation of browser links
US6754623B2 (en) * 2001-01-31 2004-06-22 International Business Machines Corporation Methods and apparatus for ambient noise removal in speech recognition
US7095455B2 (en) * 2001-03-21 2006-08-22 Harman International Industries, Inc. Method for automatically adjusting the sound and visual parameters of a home theatre system
JP2002291057A (en) * 2001-03-22 2002-10-04 J-Phone West Co Ltd Remote control device
US6973621B2 (en) 2001-04-27 2005-12-06 Starz Entertainment Group Llc Customization in a content distribution system
US7305691B2 (en) * 2001-05-07 2007-12-04 Actv, Inc. System and method for providing targeted programming outside of the home
US20020174426A1 (en) * 2001-05-15 2002-11-21 Koninklijke Philips Electronics N.V Method and apparatus for activating a media player based on user behavior
US7076734B2 (en) * 2001-06-22 2006-07-11 Microsoft Corporation Systems and methods for providing a dynamically controllable user interface that embraces a variety of media
US6745212B2 (en) * 2001-06-27 2004-06-01 International Business Machines Corporation Preferential caching of uncopied logical volumes in an IBM peer-to-peer virtual tape server
US7039879B2 (en) * 2001-06-28 2006-05-02 Nokia Corporation Method and apparatus for scrollable cross-point navigation in a user interface
US20030004934A1 (en) 2001-06-29 2003-01-02 Richard Qian Creating and managing portable user preferences for personalizion of media consumption from device to device
ATE497227T1 (en) * 2001-08-02 2011-02-15 Intellocity Usa Inc FOLLOW-UP OF ADVERTISEMENT CHANGES
US6690365B2 (en) 2001-08-29 2004-02-10 Microsoft Corporation Automatic scrolling
US20030046693A1 (en) * 2001-08-29 2003-03-06 Digeo, Inc. System and method for focused navigation within an interactive television user interface
US7162733B2 (en) * 2001-10-02 2007-01-09 General Instrument Corporation Method and apparatus for automatic set-up of electronic devices
WO2003029046A1 (en) * 2001-10-03 2003-04-10 Maryann Winter Apparatus and method for sensing the occupancy status of parking spaces in a parking lot
US20030084445A1 (en) * 2001-10-30 2003-05-01 Paul Pilat Method of enhancing awareness of a data cell in a grid
US6910191B2 (en) * 2001-11-02 2005-06-21 Nokia Corporation Program guide data selection device
US20030093814A1 (en) * 2001-11-09 2003-05-15 Birmingham Blair B.A. System and method for generating user-specific television content based on closed captioning content
US6889191B2 (en) * 2001-12-03 2005-05-03 Scientific-Atlanta, Inc. Systems and methods for TV navigation with compressed voice-activated commands
KR100429806B1 (en) * 2002-01-07 2004-05-03 삼성전자주식회사 Method and apparatus for displaying additional information linked with a digital TV program
US7703116B1 (en) * 2003-07-11 2010-04-20 Tvworks, Llc System and method for construction, delivery and display of iTV applications that blend programming information of on-demand and broadcast service offerings
JP2004031999A (en) 2002-05-31 2004-01-29 Open Interface Inc Radio/infrared transformation adapter, application system and method thereof using the same
US7607107B2 (en) * 2002-06-18 2009-10-20 The Directv Group, Inc. On-screen user interface device
US20040003392A1 (en) 2002-06-26 2004-01-01 Koninklijke Philips Electronics N.V. Method and apparatus for finding and updating user group preferences in an entertainment system
US7024256B2 (en) 2002-06-27 2006-04-04 Openpeak Inc. Method, system, and computer program product for automatically managing components within a controlled environment
US7152100B2 (en) 2002-07-09 2006-12-19 Adtran, Inc. System and method for provisioning network access devices
US7908324B2 (en) * 2002-10-02 2011-03-15 Disney Enterprises, Inc. Multi-user interactive communication network environment
JP4093308B2 (en) * 2002-11-01 2008-06-04 富士通株式会社 Touch panel device and contact position detection method
US6959862B2 (en) * 2002-11-25 2005-11-01 Yoram Neumark Inventory control and identification method
US8893174B2 (en) * 2002-12-16 2014-11-18 Centurylink Intellectual Property Llc Method and system for providing customized media content
US6994259B2 (en) * 2002-12-30 2006-02-07 Intel Corporation Method and apparatus for maintaining coherency of shared state between local and remote
JP2004287168A (en) * 2003-03-24 2004-10-14 Pioneer Electronic Corp Information display device and information display method
KR100531141B1 (en) * 2003-04-01 2005-11-28 최동욱 System and method for home automation using ir and rf combined remocon module
US7599554B2 (en) * 2003-04-14 2009-10-06 Koninklijke Philips Electronics N.V. Method and apparatus for summarizing a music video using content analysis
US8022837B2 (en) * 2003-05-14 2011-09-20 Resource Consortium Limited, Inc. Infrared signal distribution and management system and method
US7661075B2 (en) * 2003-05-21 2010-02-09 Nokia Corporation User interface display for set-top box device
JP2005065259A (en) 2003-07-30 2005-03-10 Sharp Corp Communication terminal device, remote control method, remote control program and recording medium with remote control program recorded thereon
KR20050015070A (en) 2003-08-01 2005-02-21 삼성전자주식회사 Broadcasting program transmitting and receiving device and method for the same for
JP4254950B2 (en) * 2003-09-01 2009-04-15 ソニー株式会社 Reproducing apparatus and operation menu display method in reproducing apparatus
KR100561179B1 (en) * 2003-10-15 2006-03-15 주식회사 그라운드 Grounding device and grounding method using the same
US20050138659A1 (en) 2003-12-17 2005-06-23 Gilles Boccon-Gibod Personal video recorders with automated buffering
CN100394383C (en) * 2003-12-31 2008-06-11 无极公司 Method, system, and computer program product for automatically managing components within a controlled environment
GB0402952D0 (en) 2004-02-11 2004-03-17 Koninkl Philips Electronics Nv Remote control system and related method and apparatus
JP2005236810A (en) 2004-02-20 2005-09-02 Ntt Docomo Inc Remote controller
US10721087B2 (en) * 2005-03-16 2020-07-21 Icontrol Networks, Inc. Method for networked touchscreen with integrated interfaces
US7173604B2 (en) * 2004-03-23 2007-02-06 Fujitsu Limited Gesture identification of controlled devices
JP2005275632A (en) * 2004-03-23 2005-10-06 Fujitsu Component Ltd Input panel and input device
US7626641B1 (en) * 2004-04-29 2009-12-01 EchoStar Technologies, L.L.C. Method and apparatus for a simplified power scan for remote control
JP5053078B2 (en) * 2004-04-30 2012-10-17 ヒルクレスト・ラボラトリーズ・インコーポレイテッド Handheld pointing device and method of operating the same
GB2414309B (en) 2004-05-18 2009-02-25 Simon Richard Daniel Spherical display and control device
EP1759285A1 (en) * 2004-06-04 2007-03-07 Philips Intellectual Property & Standards GmbH A hand-held device for content navigation by a user
JP2006039745A (en) * 2004-07-23 2006-02-09 Denso Corp Touch-panel type input device
EP1776630A2 (en) * 2004-08-02 2007-04-25 Koninklijke Philips Electronics N.V. Pressure-controlled navigating in a touch screen
US20080105470A1 (en) * 2004-08-02 2008-05-08 Koninklijke Philips Electronics, N.V. Touch Screen Slider for Setting Floating Point Value
US20060028337A1 (en) * 2004-08-09 2006-02-09 Li Qi P Voice-operated remote control for TV and electronic systems
US7529486B1 (en) * 2004-08-18 2009-05-05 Atheros Communications, Inc. Remote control capture and transport
WO2006037014A2 (en) * 2004-09-27 2006-04-06 Nielsen Media Research, Inc. Methods and apparatus for using location information to manage spillover in an audience monitoring system
CN101036106B (en) * 2004-10-04 2010-06-02 皇家飞利浦电子股份有限公司 Lighting device with user interface for light control
US20060085812A1 (en) 2004-10-15 2006-04-20 Shishegar Ahmad R Method for monitoring television usage
US20060088174A1 (en) * 2004-10-26 2006-04-27 Deleeuw William C System and method for optimizing media center audio through microphones embedded in a remote control
JP4055769B2 (en) 2004-12-10 2008-03-05 ブラザー工業株式会社 Setting data transmission program, setting data transmission method, setting data transmission system, and setting data transmission device
EP1829009B1 (en) 2004-12-17 2018-07-04 Universal Electronics, Inc. Universal remote control or universal remote control/telephone combination with touch operated user interface having tactile feedback
WO2006066409A1 (en) * 2004-12-22 2006-06-29 University Of Waterloo Input interface device with transformable form factor
US20080084328A1 (en) * 2005-01-10 2008-04-10 Catherine Crichton Television remote Control Device
US7375673B2 (en) * 2005-01-13 2008-05-20 Netgear, Inc. System and method for universal remote control configuration
KR20060084945A (en) 2005-01-21 2006-07-26 엘지전자 주식회사 How to create brush effect based on touch pad
US20060179453A1 (en) * 2005-02-07 2006-08-10 Microsoft Corporation Image and other analysis for contextual ads
WO2006090584A1 (en) * 2005-02-25 2006-08-31 Nec Corporation Mobile device
JP4533791B2 (en) * 2005-04-19 2010-09-01 株式会社日立製作所 Information browsing device
JP2006345209A (en) 2005-06-08 2006-12-21 Sony Corp Input device, information processing apparatus, information processing method, and program
WO2006133737A1 (en) 2005-06-16 2006-12-21 Stream Unlimited Engineering Gmbh Method for setting up a network of mobile or stationary devices
EP2485500B8 (en) * 2005-07-07 2017-04-26 TiVo Solutions Inc. System and method for digital content retrieval using a threshold indicator associated with the beginning of said recorded content
KR20070016284A (en) 2005-08-02 2007-02-08 주식회사 대우일렉트로닉스 How to automatically restore playback settings by car audio interlock
US20070050061A1 (en) * 2005-08-31 2007-03-01 Andre Klein Audio player remote control system
US20070061830A1 (en) * 2005-09-14 2007-03-15 Sbc Knowledge Ventures L.P. Audio-based tracking system for IPTV viewing and bandwidth management
JP2007088753A (en) * 2005-09-21 2007-04-05 Sharp Corp Power source control system, indication device, and remote operation device
WO2007038390A2 (en) 2005-09-26 2007-04-05 Coupons, Inc. System and method for augmenting content in electronic documents with links to contextually relevant information
US7379078B1 (en) * 2005-10-26 2008-05-27 Hewlett-Packard Development Company, L.P. Controlling text symbol display size on a display using a remote control device
US7596799B2 (en) * 2005-11-18 2009-09-29 At&T Intellectual Property I, L.P. System and method of communicating video content
US7558156B2 (en) * 2006-01-06 2009-07-07 Agilent Technologies, Inc. Acoustic location and enhancement
JP4715577B2 (en) 2006-03-22 2011-07-06 船井電機株式会社 Remote control device
US7783497B2 (en) 2006-03-28 2010-08-24 Intel Corporation Method of adaptive browsing for digital content
US8054294B2 (en) * 2006-03-31 2011-11-08 Sony Corporation Touch screen remote control system for use in controlling one or more devices
US20070239538A1 (en) * 2006-04-11 2007-10-11 Raghavendra Misra Incentivized relationship-data communication to select targeted content method and system
JP2007287005A (en) * 2006-04-19 2007-11-01 Sony Corp Information input/output device, information processing method and computer program
US20090097825A1 (en) 2006-05-05 2009-04-16 Harris Scott C Peer to Peer Distribution of Media Files
DE102006021400B4 (en) 2006-05-08 2008-08-21 Combots Product Gmbh & Co. Kg Method and device for providing a selection menu associated with a displayed symbol
US7671728B2 (en) * 2006-06-02 2010-03-02 Sensormatic Electronics, LLC Systems and methods for distributed monitoring of remote sites
JP2008027121A (en) * 2006-07-20 2008-02-07 Seiko Epson Corp Remote control device
KR20080009597A (en) * 2006-07-24 2008-01-29 삼성전자주식회사 User interface device and its implementation method
WO2008012488A2 (en) * 2006-07-24 2008-01-31 Nds Limited Peer-to-peer set-top box system
US20080066112A1 (en) * 2006-08-24 2008-03-13 Byron Lewis Bailey Method for implementing on-demand pvr peer-to-peer media sharing with content restraint
US20080059522A1 (en) * 2006-08-29 2008-03-06 International Business Machines Corporation System and method for automatically creating personal profiles for video characters
KR100967700B1 (en) * 2006-09-08 2010-07-07 주식회사 아이큐브 Peer-to-peer on-demand video service system
US8243017B2 (en) * 2006-09-11 2012-08-14 Apple Inc. Menu overlay including context dependent menu icon
US7696873B2 (en) * 2006-09-12 2010-04-13 Tyco Safety Products Canada Ltd. Method and apparatus for automatically disarming a security system
US20080072084A1 (en) 2006-09-20 2008-03-20 Chao-Kuang Yang Method for Power Management
KR20080026948A (en) * 2006-09-22 2008-03-26 숭실대학교산학협력단 How to extract related keyword groups
US7769593B2 (en) * 2006-09-28 2010-08-03 Sri International Method and apparatus for active noise cancellation
US20080092156A1 (en) * 2006-09-29 2008-04-17 United Video Properties, Inc. Systems and methods for automatically identifying a user profile
US20080092155A1 (en) * 2006-09-29 2008-04-17 United Video Properties, Inc. Systems and methods for automatically identifying a user profile
US20080092170A1 (en) * 2006-09-29 2008-04-17 United Video Properties, Inc. Systems and methods for modifying an interactive media guidance application interface based on time of day
CN101536520B (en) * 2006-09-29 2011-08-17 联合视频制品公司 Management of profiles for interactive media guidance applications
US8850481B2 (en) * 2006-09-29 2014-09-30 United Video Properties, Inc. Systems and methods for modifying an interactive media guidance application interface based on time of day
US8566874B2 (en) * 2006-10-03 2013-10-22 Verizon Patent And Licensing Inc. Control tools for media content access systems and methods
US8683386B2 (en) * 2006-10-03 2014-03-25 Brian Mark Shuster Virtual environment for computer game
US20080098123A1 (en) 2006-10-24 2008-04-24 Microsoft Corporation Hybrid Peer-to-Peer Streaming with Server Assistance
JP4482829B2 (en) * 2006-11-08 2010-06-16 ソニー株式会社 Preference extraction device, preference extraction method, and preference extraction program
US8230466B2 (en) * 2006-11-16 2012-07-24 At&T Intellectual Property I, L.P. Home automation system and method including remote media access
JP2008146453A (en) 2006-12-12 2008-06-26 Sony Corp Picture signal output device and operation input processing method
US8094838B2 (en) * 2007-01-15 2012-01-10 Eastman Kodak Company Voice command of audio emitting device
JP2008191791A (en) 2007-02-01 2008-08-21 Sharp Corp Coordinate input device, coordinate input method, control program and computer-readable recording medium
US20080204605A1 (en) * 2007-02-28 2008-08-28 Leonard Tsai Systems and methods for using a remote control unit to sense television characteristics
US20080235746A1 (en) * 2007-03-20 2008-09-25 Michael James Peters Methods and apparatus for content delivery and replacement in a network
US9009589B2 (en) * 2007-03-30 2015-04-14 Google Inc. Conversion of portable program modules for constrained displays
JP2008257374A (en) * 2007-04-03 2008-10-23 Sharp Corp Personal digital assistant and cellphone
US8112720B2 (en) * 2007-04-05 2012-02-07 Napo Enterprises, Llc System and method for automatically and graphically associating programmatically-generated media item recommendations related to a user's socially recommended media items
US8023725B2 (en) 2007-04-12 2011-09-20 Samsung Electronics Co., Ltd. Identification of a graphical symbol by identifying its constituent contiguous pixel groups as characters
US20080301750A1 (en) * 2007-04-13 2008-12-04 Robert Denton Silfvast Networked antenna and transport system unit
US8797465B2 (en) * 2007-05-08 2014-08-05 Sony Corporation Applications for remote control devices with added functionalities
TWI338253B (en) 2007-06-20 2011-03-01 Quanta Comp Inc Remote control system and method for providing application program thereof
US7823076B2 (en) * 2007-07-13 2010-10-26 Adobe Systems Incorporated Simplified user interface navigation
US8091103B2 (en) * 2007-07-22 2012-01-03 Overlay.Tv Inc. Server providing content directories of video signals and linkage to content information sources
US9083915B2 (en) * 2007-09-28 2015-07-14 Alcatel Lucent 3D electronic program guide
US20090100380A1 (en) * 2007-10-12 2009-04-16 Microsoft Corporation Navigating through content
JP4690376B2 (en) * 2007-10-18 2011-06-01 株式会社ナナオ Remote control device, remote control system and electrical equipment
US8244102B2 (en) * 2007-10-19 2012-08-14 Internationa Business Machines Corporation Detecting and processing corrupted video recordings
KR101111726B1 (en) * 2007-10-31 2012-03-08 주식회사 소프닉스 Method for providing interactive advertisement file authoring service, and computer-readable recording medium having interactive advertisement file authoring program
US7853558B2 (en) * 2007-11-09 2010-12-14 Vibrant Media, Inc. Intelligent augmentation of media content
JP2009124896A (en) * 2007-11-16 2009-06-04 Oki Semiconductor Co Ltd Electronic device, remote control device, and remote control system
EP2071515A1 (en) 2007-12-11 2009-06-17 Honda Research Institute Europe GmbH Visually tracking an object in real world using 2D appearance and multicue depth estimations
US8881049B2 (en) 2007-12-14 2014-11-04 Apple Inc. Scrolling displayed objects using a 3D remote controller in a media system
KR101348598B1 (en) * 2007-12-21 2014-01-07 삼성전자주식회사 Digital television video program providing system and digital television and contolling method for the same
US20090190150A1 (en) 2008-01-24 2009-07-30 Selvaraj Senthil K On-Demand Print Driver
US20090271283A1 (en) * 2008-02-13 2009-10-29 Catholic Content, Llc Network Media Distribution
US20090212939A1 (en) * 2008-02-21 2009-08-27 Richmond Robert C Dockable wireless remote control
KR20090093904A (en) * 2008-02-28 2009-09-02 미디어코러스 주식회사 Apparatus and method for scene variation robust multimedia image analysis, and system for multimedia editing based on objects
US9503562B2 (en) * 2008-03-19 2016-11-22 Universal Electronics Inc. System and method for appliance control via a personal communication or entertainment device
US9513718B2 (en) * 2008-03-19 2016-12-06 Computime, Ltd. User action remote control
JP2009237875A (en) 2008-03-27 2009-10-15 Brother Ind Ltd Contact input type information processing unit, contact input type information processing method, and information processing program
JP2009267643A (en) 2008-04-23 2009-11-12 Smk Corp Remote control transmitter
EP2279504A4 (en) * 2008-05-08 2013-12-18 Robert P Stratton Remote control system and method
JP4389034B2 (en) * 2008-06-05 2009-12-24 学校法人 大阪電気通信大学 Input device, input system, and input method in input device
US8417296B2 (en) * 2008-06-05 2013-04-09 Apple Inc. Electronic device with proximity-based radio power control
JP5141390B2 (en) * 2008-06-19 2013-02-13 ヤマハ株式会社 Speaker device and speaker system
US8199941B2 (en) * 2008-06-23 2012-06-12 Summit Semiconductor Llc Method of identifying speakers in a home theater system
JP4885911B2 (en) * 2008-06-27 2012-02-29 京セラ株式会社 Mobile device
US8826181B2 (en) * 2008-06-28 2014-09-02 Apple Inc. Moving radial menus
JP4557056B2 (en) * 2008-06-30 2010-10-06 ソニー株式会社 Remote control device and remote control method
US20100001960A1 (en) 2008-07-02 2010-01-07 Sling Media, Inc. Systems and methods for gestural interaction with user interface objects
US20100014834A1 (en) 2008-07-16 2010-01-21 Suni Flynn Control System for Network of Input Devices with Optimization of the Recording Process Based on the Recording Device
JP5281838B2 (en) * 2008-07-17 2013-09-04 株式会社ニコンシステム Imaging device
KR100875504B1 (en) * 2008-07-25 2008-12-26 (주)의제전기설비연구원 Perlite Carbon Ground Module
CN102100079A (en) 2008-08-06 2011-06-15 松下电器产业株式会社 Video processing device
US20100039393A1 (en) * 2008-08-15 2010-02-18 At&T Intellectual Property I, L.P. Text entry on touch screen cellphones by different pressure levels
US8279357B2 (en) * 2008-09-02 2012-10-02 Mitsubishi Electric Visual Solutions America, Inc. System and methods for television with integrated sound projection system
US8519820B2 (en) * 2008-09-02 2013-08-27 Apple Inc. Systems and methods for saving and restoring scenes in a multimedia system
JP5191321B2 (en) 2008-09-02 2013-05-08 株式会社ジャパンディスプレイウェスト Information input device, information input method, information input / output device, and information input program
US8893035B2 (en) 2008-09-17 2014-11-18 Accenture Global Services Limited Method, system and graphical user interface for configuring a simulator to simulate a plurality of devices
WO2010036050A2 (en) * 2008-09-26 2010-04-01 Lg Electronics Inc. Mobile terminal and control method thereof
JP5332519B2 (en) 2008-11-05 2013-11-06 日本電気株式会社 Touch panel, operation detection method, and electronic device
US8527877B2 (en) * 2008-11-25 2013-09-03 At&T Intellectual Property I, L.P. Systems and methods to select media content
EP2196891A3 (en) * 2008-11-25 2013-06-26 Samsung Electronics Co., Ltd. Device and method for providing a user interface
KR101528262B1 (en) 2008-11-26 2015-06-11 삼성전자 주식회사 A Method of Unlocking a Locking Mode of Portable Terminal and an Apparatus having the same
JP2010157930A (en) * 2008-12-27 2010-07-15 Funai Electric Co Ltd Video apparatus
US8132120B2 (en) * 2008-12-29 2012-03-06 Verizon Patent And Licensing Inc. Interface cube for mobile device
US20100164745A1 (en) * 2008-12-29 2010-07-01 Microsoft Corporation Remote control device with multiple active surfaces
US20100169946A1 (en) * 2008-12-31 2010-07-01 Stanley James C Method and system for configuring device control in a multimedia entertainment system
WO2010080934A1 (en) * 2009-01-07 2010-07-15 David Colter Method and apparatus for user interface movement scheme
US20100175022A1 (en) * 2009-01-07 2010-07-08 Cisco Technology, Inc. User interface
US8607268B2 (en) * 2009-01-15 2013-12-10 Microsoft Corporation Categorized electronic program guide
US20100201879A1 (en) * 2009-02-12 2010-08-12 Echostar Technologies L.L.C. Customizable Picture-in-Picture
JP5157969B2 (en) * 2009-03-09 2013-03-06 ソニー株式会社 Information processing apparatus, threshold setting method and program thereof
US8274381B2 (en) * 2009-03-25 2012-09-25 At&T Intellectual Property I, L.P. System and method for tracking a controller
EP2438770A1 (en) * 2009-06-03 2012-04-11 Koninklijke Philips Electronics N.V. Estimation of loudspeaker positions
US9445036B2 (en) * 2009-06-30 2016-09-13 Rovi Guides, Inc. Methods and systems for content scheduling across multiple devices
US8769578B2 (en) * 2009-06-30 2014-07-01 United Video Properties, Inc. Systems and methods for providing interactive media guidance on a wireless communications device
US8428368B2 (en) 2009-07-31 2013-04-23 Echostar Technologies L.L.C. Systems and methods for hand gesture control of an electronic device
JP5304544B2 (en) * 2009-08-28 2013-10-02 ソニー株式会社 Information processing apparatus, information processing method, and program
WO2011043762A1 (en) * 2009-10-05 2011-04-14 Hewlett-Packard Development Company, L.P. User interface
US20110093890A1 (en) * 2009-10-21 2011-04-21 John Araki User control interface for interactive digital television
JP5260468B2 (en) 2009-10-22 2013-08-14 スタンレー電気株式会社 Liquid crystal display
US8572238B2 (en) * 2009-10-22 2013-10-29 Sony Corporation Automated social networking television profile configuration and processing
US8515763B2 (en) * 2009-11-24 2013-08-20 Honeywell International Inc. Methods and systems for utilizing voice commands onboard an aircraft
US20110131180A1 (en) * 2009-11-27 2011-06-02 Nokia Corporation Method and apparatus for configuring a content object
US20110145050A1 (en) * 2009-12-15 2011-06-16 Patricia Jane Gross Activity-Based Compatibility Testing For Preliminarily Matched Users Via Interactive Social Media
US8640052B2 (en) * 2009-12-31 2014-01-28 Verizon Patent And Licensing Inc. User interface enhancements for media content access systems and methods
US9070146B2 (en) * 2010-02-04 2015-06-30 Playspan Inc. Method and system for authenticating online transactions
EP2564598A4 (en) * 2010-04-28 2017-04-26 LG Electronics Inc. Image display apparatus and method for operating the same
US9414125B2 (en) 2010-08-27 2016-08-09 Intel Corporation Remote control device
JP5674107B2 (en) 2010-10-19 2015-02-25 日本電気株式会社 Communication system, control device, processing rule setting method and program
US9167295B2 (en) * 2011-06-07 2015-10-20 Comcast Cable Communications, Llc Multi-source content retrieval
EP2590165B1 (en) * 2011-11-07 2015-04-29 Dietmar Ruwisch Method and apparatus for generating a noise reduced audio signal
US8813108B2 (en) * 2011-11-23 2014-08-19 At&T Intellectual Property I, Lp Apparatus and method for providing preferred media programming

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8209724B2 (en) * 2007-04-25 2012-06-26 Samsung Electronics Co., Ltd. Method and system for providing access to information of potential interest to a user
US20100005083A1 (en) * 2008-07-01 2010-01-07 Xerox Corporation Frequency based keyword extraction method and system using a statistical measure
US20100125875A1 (en) * 2008-11-20 2010-05-20 Comcast Cable Communications, Llc Method and apparatus for delivering video and video-related content at sub-asset level
US20100158470A1 (en) * 2008-12-24 2010-06-24 Comcast Interactive Media, Llc Identification of segments within audio, video, and multimedia items

Cited By (40)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9697337B2 (en) 2011-04-12 2017-07-04 Applied Science, Inc. Systems and methods for managing blood donations
US9009261B2 (en) * 2012-09-14 2015-04-14 Comcast Cable Communications, Llc Optical character recognition for video automation
US20140082130A1 (en) * 2012-09-14 2014-03-20 Comcast Cable Communications, Llc Optical Character Recognition for Video Automation
US10355967B2 (en) 2012-09-14 2019-07-16 Comcast Cable Communications, Llc Optical character recognition for video automation
US10298978B2 (en) * 2013-02-08 2019-05-21 DISH Technologies L.L.C. Interest prediction
US20140229964A1 (en) * 2013-02-08 2014-08-14 Echostar Technologies L.L.C. Interest prediction
US10298979B2 (en) 2013-02-08 2019-05-21 DISH Technologies L.L.C. Interest prediction
US20150050010A1 (en) * 2013-08-15 2015-02-19 Cellular South, Inc. Dba C Spire Wireless Video to data
US9940972B2 (en) * 2013-08-15 2018-04-10 Cellular South, Inc. Video to data
US9876848B1 (en) * 2014-02-21 2018-01-23 Twitter, Inc. Television key phrase detection
US10326829B2 (en) 2014-02-21 2019-06-18 Twitter, Inc. Television key phrase detection
US11057457B2 (en) 2014-02-21 2021-07-06 Twitter, Inc. Television key phrase detection
US11426498B2 (en) 2014-05-30 2022-08-30 Applied Science, Inc. Systems and methods for managing blood donations
US11809478B2 (en) * 2015-06-17 2023-11-07 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US12072923B2 (en) * 2015-06-17 2024-08-27 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US20240028632A1 (en) * 2015-06-17 2024-01-25 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US20160371257A1 (en) * 2015-06-17 2016-12-22 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US11017009B2 (en) * 2015-06-17 2021-05-25 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US10176178B2 (en) * 2015-06-17 2019-01-08 Rovi Guides, Inc. Systems and methods for arranging contextually related media assets
US20250021595A1 (en) * 2015-06-17 2025-01-16 Adeia Guides Inc. Systems and methods for arranging contextually related media assets
US11405676B2 (en) 2015-06-23 2022-08-02 Meta Platforms, Inc. Streaming media presentation system
US10652606B2 (en) 2015-06-23 2020-05-12 Facebook, Inc. Streaming media presentation system
US10659835B2 (en) * 2015-06-23 2020-05-19 Facebook, Inc. Streaming media presentation system
US11563997B2 (en) 2015-06-23 2023-01-24 Meta Platforms, Inc. Streaming media presentation system
TWI628631B (en) * 2017-05-08 2018-07-01 和碩聯合科技股份有限公司 Remote control system, remote control method and gateway
US10235874B2 (en) 2017-05-08 2019-03-19 Pegatron Corporation Remote control system, remote control method and gateway
US10880614B2 (en) * 2017-10-20 2020-12-29 Fmr Llc Integrated intelligent overlay for media content streams
US20190124403A1 (en) * 2017-10-20 2019-04-25 Fmr Llc Integrated Intelligent Overlay for Media Content Streams
US10834462B2 (en) * 2018-09-17 2020-11-10 International Business Machines Corporation System and method for context detection of objectionable speech in video
US11343569B2 (en) * 2018-09-17 2022-05-24 International Business Machines Corporation System and method for context aware detection of objectionable speech in video
US20200092607A1 (en) * 2018-09-17 2020-03-19 International Business Machines Corporation System and method for context detection of objectionable speech in video
US20220012520A1 (en) * 2019-02-01 2022-01-13 Samsung Electronics Co., Ltd. Electronic device and control method therefor
US11893813B2 (en) * 2019-02-01 2024-02-06 Samsung Electronics Co., Ltd. Electronic device and control method therefor
EP3891592A4 (en) * 2019-02-19 2022-01-19 Samsung Electronics Co., Ltd. METHOD FOR DISPLAYING A VISUAL OBJECT RELATING TO CONTENT AND ASSOCIATED ELECTRONIC DEVICE
US11087421B2 (en) * 2019-06-11 2021-08-10 Matthew M. Tonuzi Method and apparatus for improved analysis of legal documents
US20210240926A1 (en) * 2019-06-11 2021-08-05 Matthew M. Tonuzi Method and apparatus for improved analysis of legal documents
US11720747B2 (en) * 2019-06-11 2023-08-08 Matthew M. Tonuzi Method and apparatus for improved analysis of legal documents
WO2021112419A1 (en) * 2019-12-04 2021-06-10 Samsung Electronics Co., Ltd. Method and electronic device for automatically editing video
US11250872B2 (en) 2019-12-14 2022-02-15 International Business Machines Corporation Using closed captions as parallel training data for customization of closed captioning systems
WO2022059817A1 (en) * 2020-09-18 2022-03-24 주식회사 사이 Ai-based minimal contextual exploration method on basis of meta-information recognition that can be known from dialogues and backgrounds of images and videos

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JP5936613B2 (en) 2016-06-22
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EP2609734A4 (en) 2015-02-25
KR20130050369A (en) 2013-05-15
US20160098920A1 (en) 2016-04-07
US20180184175A1 (en) 2018-06-28
US20130159856A1 (en) 2013-06-20
US9736546B2 (en) 2017-08-15
EP2609748A2 (en) 2013-07-03
KR20130050371A (en) 2013-05-15
KR101450491B1 (en) 2014-10-13
WO2012027600A3 (en) 2012-07-05
EP2609737A2 (en) 2013-07-03
WO2012027644A3 (en) 2012-04-19
WO2012027608A3 (en) 2012-04-19
WO2012027607A2 (en) 2012-03-01
US20190387285A1 (en) 2019-12-19
KR101772385B1 (en) 2017-09-12
KR20130050370A (en) 2013-05-15
KR101607419B1 (en) 2016-03-29
WO2012027599A3 (en) 2012-04-19
US10631065B2 (en) 2020-04-21
KR20130064111A (en) 2013-06-17
JP2013541877A (en) 2013-11-14
US20130326399A1 (en) 2013-12-05
WO2012027598A3 (en) 2012-04-19
US20130315038A1 (en) 2013-11-28
EP2609734A2 (en) 2013-07-03
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US20130332535A1 (en) 2013-12-12
EP2609732A2 (en) 2013-07-03
US9781484B2 (en) 2017-10-03
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US9769534B2 (en) 2017-09-19

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