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WO2018122960A1 - Système d'identification de cadreur, procédé d'identification de cadreur, et programme - Google Patents

Système d'identification de cadreur, procédé d'identification de cadreur, et programme Download PDF

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Publication number
WO2018122960A1
WO2018122960A1 PCT/JP2016/088888 JP2016088888W WO2018122960A1 WO 2018122960 A1 WO2018122960 A1 WO 2018122960A1 JP 2016088888 W JP2016088888 W JP 2016088888W WO 2018122960 A1 WO2018122960 A1 WO 2018122960A1
Authority
WO
WIPO (PCT)
Prior art keywords
photographer
image
fingerprint
fingerprint information
identifying
Prior art date
Application number
PCT/JP2016/088888
Other languages
English (en)
Japanese (ja)
Inventor
俊二 菅谷
Original Assignee
株式会社オプティム
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 株式会社オプティム filed Critical 株式会社オプティム
Priority to PCT/JP2016/088888 priority Critical patent/WO2018122960A1/fr
Publication of WO2018122960A1 publication Critical patent/WO2018122960A1/fr

Links

Classifications

    • G—PHYSICS
    • G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
    • G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
    • G03B17/00—Details of cameras or camera bodies; Accessories therefor
    • G03B17/02—Bodies
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T1/00—General purpose image data processing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording
    • H04N5/91—Television signal processing therefor

Definitions

  • the present invention relates to a photographer identification system, a photographer identification method, and a program for identifying a photographer of an image photographed by a smart device.
  • Patent Document 1 is premised on classification based on operation input from a user, and there is a problem that a photographer cannot be identified without such user operation. Therefore, the inventor focused on the fact that recent smart devices have a fingerprint reading function on the buttons, and thought that these could be used to classify captured images.
  • an object of the present invention is to provide a photographer identification system, a photographer identification method, and a program for identifying a photographer using a fingerprint reading function of a smart device.
  • the present invention provides the following solutions.
  • the invention according to the first aspect is a photographer identification system that identifies a photographer using a fingerprint reading function of a smart device, and an image acquisition unit that acquires an image photographed by the camera of the smart device;
  • the fingerprint information acquisition means for acquiring the fingerprint information read by the fingerprint reading function, the fingerprint information analysis means for analyzing the acquired fingerprint information, and the result of the analysis at the same timing as when the image was taken
  • a photographer identification system including a photographer identification unit that identifies the photographer, a storage unit that stores the acquired image and the identified photographer in association with each other is provided.
  • the invention according to the first aspect is a photographer identification method for identifying a photographer by using a fingerprint reading function of a smart device, the image obtaining step for obtaining an image photographed by the camera of the smart device;
  • the fingerprint information acquisition step for acquiring the fingerprint information read by the fingerprint reading function at the same timing as when the image was taken, the fingerprint information analysis step for analyzing the acquired fingerprint information, and the result of the analysis
  • a photographer specifying method comprising: a photographer specifying step for specifying the photographer; and a storing step for storing the acquired image and the specified photographer in association with each other.
  • the invention according to the first aspect is an image acquisition step of acquiring an image taken by a camera of the smart device using a fingerprint reading function of the smart device in a computer, at the same timing as when the image was taken,
  • a fingerprint information acquiring step for acquiring fingerprint information read by a fingerprint reading function
  • a fingerprint information analyzing step for analyzing the acquired fingerprint information
  • a photographer specifying step for specifying the photographer based on a result of the analysis
  • the photographer when classifying images captured by a camera, the photographer is identified by using fingerprint information without input from the user, and the resulting captured images are automatically classified. It becomes possible.
  • the photographer identification system is a system for identifying a photographer by using a fingerprint reading function for performing reading by placing a finger on the operation part of a smart device or a display screen.
  • a smart device refers to a device having a camera function, such as a digital camera, a smartphone, a tablet, and a smart glass or a wearable terminal.
  • the camera shooting button of the smart device is the same as the device that performs fingerprint reading, the shooting and fingerprint are almost simultaneously performed at the same timing as shooting (touching a finger for shooting). It is desirable that reading be performed.
  • the photographer identification system includes an image acquisition unit, a fingerprint information acquisition unit, a fingerprint information analysis unit, a photographer identification unit, and a storage unit, which are realized by a control unit reading a predetermined program.
  • an embedding unit, an information display unit, an authentication unit, a signature reception unit, a signature display unit, and a copyright management unit may be provided. These may be realized by an application installed on a smart device or a network partially realized by a computer via a network (may be a cloud type in which two or more means are realized by another computer). May be.
  • Each means described above may be realized by a single computer or may be realized by two or more computers (for example, a server and a terminal).
  • the image acquisition means acquires an image taken with the smart device camera.
  • the acquisition may be that another module of the smart device itself acquires an image read by the camera of the smart device, or another computer acquires an image acquired by the smart device via a network. It may be to do.
  • the fingerprint information acquisition unit acquires the fingerprint information read by the fingerprint reading function when shooting is performed. In order to acquire a fingerprint, it is desirable to read the fingerprint information at the same time when the shooting shutter button is pressed. In this case, since the fingerprint information is read at the time of shooting, it can be determined that the fingerprint information matches the photographer. Similarly, here, acquisition may mean that the smart device itself acquires an image read by the camera of the smart device, or another computer acquires an image acquired by the smart device via a network. It may be.
  • Fingerprint information analysis means analyzes the acquired fingerprint information.
  • the fingerprint analysis algorithm analyzes by extracting feature points of a fingerprint pattern. For example, feature points such as a center point, a delta, an end point, and a branch point are extracted and analyzed.
  • the accuracy of fingerprint analysis may be increased by machine learning using AI (artificial intelligence).
  • AI artificial intelligence
  • the photographer may be specified from data in which the photographer and fingerprint information (for example, a fingerprint image) are previously learned as teacher data.
  • the accuracy of image analysis may be increased by AI (artificial intelligence), deep learning, or the like.
  • the photographer specifying means specifies the photographer based on the result of the analysis.
  • the specific algorithm may identify the photographer by checking against a fingerprint database in which fingerprint information is registered.
  • the fingerprint database may be an internal database or an external database.
  • the storage means stores the acquired image and the specified photographer in association with each other. For example, it is stored as a correspondence table.
  • the embedding unit embeds the stored photographer information in the stored image information.
  • the photographer data is embedded in the image data.
  • the photographer data can also be read, so that the image and the photographer can be in one-to-one correspondence.
  • the photographer data may include additional data such as a photographer's organization and family in addition to the photographer's name and user ID. These additional data are stored in correspondence with the name and user ID of the photographer in a database stored in the smart device or a computer connected via a network. The photographer data is read.
  • the information display means displays the stored photographer information (photographer data) on the stored outer image.
  • the affiliated organization as additional data is displayed on the outer image.
  • information signature information
  • information that becomes a signature indicating the photographer of the image is displayed like a signature indicating the creator of the painting. Also good.
  • by displaying the signature information as a signature it is possible to clearly show the photographer to other people by showing who has taken the image as a signature.
  • the authentication unit authenticates the specified photographer based on the stored result. For example, if the authentication is not successful, the stored image is deleted, and if the authentication is successful, the stored image is maintained.
  • authentication may be performed by checking a fingerprint authentication list or the like.
  • the fingerprint authentication list may be an internal list or an external list.
  • the signature accepting unit accepts a signature input from an authenticated photographer.
  • the signature display means displays the received signature on the stored image.
  • the photographer's signature is displayed on the image, like the signature of the creator of the painting. That is, displaying the signature makes it possible to clarify who has taken the image.
  • the copyright management means manages the copyright of the image based on the stored photographer data and additional data. Since the image and the specified photographer are stored in association with each other, this processing / editing is performed when a user other than the specified photographer processes and edits the outside image or makes a copy.
  • the software may perform warning by comparing information of the photographer and the user.
  • a smart device refers to a device having a camera function, such as a digital camera, a smartphone, a tablet, and a smart glass.
  • the photographer identification method includes an image acquisition step, a fingerprint information acquisition step, a fingerprint information analysis step, a photographer identification step, and a storage step. Further, it includes at least an embedding step, an information display step, an authentication step, a signature reception step, a signature display step, and a copyright management step.
  • an image captured by the smart device camera is acquired.
  • the fingerprint information acquisition step acquires the fingerprint information read by the fingerprint reading function when shooting is performed. Since the fingerprint information is read when the image is taken, the fingerprint information matches the photographer.
  • the fingerprint information analysis step analyzes the acquired fingerprint information.
  • the fingerprint analysis algorithm analyzes by extracting feature points of a fingerprint pattern. For example, feature points such as a center point, a delta, an end point, and a branch point are extracted and analyzed.
  • the accuracy of fingerprint analysis may be increased by machine learning using AI (artificial intelligence).
  • the photographer identification step identifies the photographer based on the result of analysis.
  • the specific algorithm may identify the photographer by checking against a fingerprint database in which fingerprint information is registered.
  • the fingerprint database may be an internal database or an external database.
  • the acquired image and the specified photographer are stored in association with each other. For example, it is stored as a correspondence table.
  • the stored photographer information is embedded in the stored image information.
  • the photographer data is embedded in the image data.
  • the photographer data can also be read, so that the image and the photographer can be in one-to-one correspondence.
  • the information display step synthesizes the stored photographer information with the stored (embedded) image in a visible state, and displays the stored image together with the photographer's information. Display information. For example, when an image is displayed, the photographer's name and organization are also displayed. Information such as a signature indicating the creator of the picture is displayed instead of the signature indicating the photographer of the image. That is, by displaying information that can be used instead of a signature, it is possible to clarify who has taken the image.
  • the identified photographer is authenticated based on the stored result. For example, if the authentication is not successful, the stored image is deleted, and if the authentication is successful, the stored image is maintained.
  • authentication may be performed by checking a fingerprint authentication list or the like.
  • the fingerprint authentication list may be an internal list or an external list.
  • the signature acceptance step accepts an input of a signature from an authenticated photographer.
  • the received signature is displayed on the stored image.
  • the photographer's signature is displayed on the image, like the signature of the creator of the painting. That is, displaying the signature makes it possible to clarify who has taken the image.
  • the copyright of the image is managed based on the stored result. Since the image and the specified photographer are stored in association with each other, the copyright can be clearly managed. If a copyright infringement is found, it may have a function of warning a person who has infringed.
  • the means and functions described above are realized by a computer (including a CPU, an information processing apparatus, and various terminals) reading and executing a predetermined program.
  • the program may be, for example, an application installed on a computer, or may be in the form of SaaS (software as a service) provided from a computer via a network, for example, a flexible disk, a CD It may be provided in a form recorded on a computer-readable recording medium such as a CD-ROM (DVD-ROM, DVD-RAM, etc.).
  • the computer reads the program from the recording medium, transfers it to the internal storage device or the external storage device, stores it, and executes it.
  • the program may be recorded in advance in a storage device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided from the storage device to a computer via a communication line.
  • a nearest neighbor method a naive Bayes method, a decision tree, a support vector machine, or the like may be used.
  • deep learning may be used in which a characteristic amount for learning is generated by using a neural network.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Selon l'invention, un cadreur est identifié en mettant en œuvre une fonction lecture d'empreintes digitales d'un appareil intelligent. Ainsi, l'invention concerne un système d'identification de cadreur qui identifie le cadreur en mettant en œuvre une fonction lecture d'empreintes digitales d'un appareil intelligent. Plus précisément, l'invention fournit un système d'identification de cadreur qui est équipé : d'un moyen d'acquisition d'image qui acquiert une image capturée par une caméra dudit appareil intelligent ; d'un moyen d'acquisition d'informations relatives aux empreintes digitales qui acquiert des informations relatives aux empreintes digitales lues au moyen de ladite fonction lecture d'empreintes digitales au même moment que ladite capture d'image ; d'un moyen d'analyse d'informations relatives aux empreintes digitales analysant lesdites informations relatives aux empreintes digitales acquises ; d'un moyen d'identification de cadreur qui identifie ledit cadreur sur la base des résultats de ladite analyse ; et d'un moyen de mémorisation qui associe et mémorise ladite image capturée et ledit cadreur identifié.
PCT/JP2016/088888 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme WO2018122960A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/JP2016/088888 WO2018122960A1 (fr) 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2016/088888 WO2018122960A1 (fr) 2016-12-27 2016-12-27 Système d'identification de cadreur, procédé d'identification de cadreur, et programme

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WO2018122960A1 true WO2018122960A1 (fr) 2018-07-05

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2022064565A1 (fr) * 2020-09-23 2022-03-31

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357145A (ja) * 2003-05-30 2004-12-16 Olympus Corp 電子機器
JP2006238075A (ja) * 2005-02-25 2006-09-07 Fuji Photo Film Co Ltd 撮影装置
JP2009141973A (ja) * 2009-01-14 2009-06-25 Kashiko Kodate 動画データベースの作製方法、動画データベースに動画データを登録するための登録システム及びプログラム
JP2011109291A (ja) * 2009-11-16 2011-06-02 Canon Inc 撮像装置、外部ストレージ装置、画像転送システム、これらの制御方法及びプログラム、並びに記録媒体
JP2011211349A (ja) * 2010-03-29 2011-10-20 Canon Inc 情報処理装置およびその動作方法
JP2013179562A (ja) * 2012-02-09 2013-09-09 Koso Online Kk 画像処理装置および画像処理プログラム

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004357145A (ja) * 2003-05-30 2004-12-16 Olympus Corp 電子機器
JP2006238075A (ja) * 2005-02-25 2006-09-07 Fuji Photo Film Co Ltd 撮影装置
JP2009141973A (ja) * 2009-01-14 2009-06-25 Kashiko Kodate 動画データベースの作製方法、動画データベースに動画データを登録するための登録システム及びプログラム
JP2011109291A (ja) * 2009-11-16 2011-06-02 Canon Inc 撮像装置、外部ストレージ装置、画像転送システム、これらの制御方法及びプログラム、並びに記録媒体
JP2011211349A (ja) * 2010-03-29 2011-10-20 Canon Inc 情報処理装置およびその動作方法
JP2013179562A (ja) * 2012-02-09 2013-09-09 Koso Online Kk 画像処理装置および画像処理プログラム

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2022064565A1 (fr) * 2020-09-23 2022-03-31
JP7272510B2 (ja) 2020-09-23 2023-05-12 日本電気株式会社 照合装置、照合方法、プログラム

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