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WO2018161219A1 - Procédé et système de gestion des mégadonnées de vidéos de surveillance - Google Patents

Procédé et système de gestion des mégadonnées de vidéos de surveillance Download PDF

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Publication number
WO2018161219A1
WO2018161219A1 PCT/CN2017/075767 CN2017075767W WO2018161219A1 WO 2018161219 A1 WO2018161219 A1 WO 2018161219A1 CN 2017075767 W CN2017075767 W CN 2017075767W WO 2018161219 A1 WO2018161219 A1 WO 2018161219A1
Authority
WO
WIPO (PCT)
Prior art keywords
video information
monitoring system
big data
video
information
Prior art date
Application number
PCT/CN2017/075767
Other languages
English (en)
Chinese (zh)
Inventor
马岩
Original Assignee
深圳市博信诺达经贸咨询有限公司
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 深圳市博信诺达经贸咨询有限公司 filed Critical 深圳市博信诺达经贸咨询有限公司
Priority to PCT/CN2017/075767 priority Critical patent/WO2018161219A1/fr
Publication of WO2018161219A1 publication Critical patent/WO2018161219A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/76—Television signal recording

Definitions

  • the present invention relates to the field of monitoring, and in particular, to a method and system for managing video big data.
  • the monitoring system consists of 5 parts: camera, transmission, control, display, and record registration.
  • the camera transmits the video image to the control host through the coaxial video cable, and the control host distributes the video signal to each monitor and recording device, and simultaneously records the voice signal to be transmitted into the recorder.
  • the operator can issue commands to control the up, down, left, and right movements of the pan/tilt and focus the zoom on the lens, and can be implemented in the multi-channel camera and the pan/tilt by the control host. Switch between. With special recording processing mode, images can be recorded, played back, processed, etc., so that the recording effect is optimal.
  • the big data video files of the existing monitoring system only have the storage function, and the video files are not filtered and managed, so the user experience is low.
  • the application provides a management method for monitoring video big data. It solves the shortcomings of low user experience of the prior art technical solutions.
  • a method for managing video big data comprising the following steps: monitoring a method for managing video big data, the method comprising the following steps:
  • the monitoring system receives the first video information transmitted by the camera
  • the monitoring system compares the first video information with the second video information before the camera
  • the first video information is not stored, and if the comparison is inconsistent, the first video information is stored.
  • the method further includes:
  • the monitoring system identifies whether the different portions of the first video information and the second video information are person information, and if not the person information, deleting the first video information.
  • the method further includes:
  • the monitoring system collects the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompts the user to organize the big data video information of the monitoring system.
  • a management system for monitoring video big data comprising:
  • a transceiver unit configured to receive first video information delivered by the camera
  • a processing unit configured to compare the first video information with the second video information before the camera, if the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is used. storage.
  • system further includes:
  • the processing unit is configured to identify whether different parts of the first video information and the second video information are person information, and if not the person information, delete the first video information.
  • system further includes:
  • the processing unit is configured to collect the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompt the user to organize the big data video information of the monitoring system.
  • a third aspect provides a monitoring system, including: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus, and the wireless transceiver is configured to receive a camera transmission a video message;
  • the processor is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first Video information storage.
  • the processor is configured to identify whether different parts of the first video information and the second video information are character information, and if not, the first video information.
  • the processor is configured to collect a total capacity of the stored big data video information, and if the total capacity exceeds a set threshold, prompt the user to organize the big data video information of the monitoring system.
  • the technical solution provided by the present invention determines whether to store the video file according to a specific situation, and dynamically manages the video file, so that it has the advantage of improving user experience.
  • FIG. 1 is a flowchart of a method for managing monitoring video big data according to a first preferred embodiment of the present invention
  • FIG. 2 is a structural diagram of a management system for monitoring video big data according to a second preferred embodiment of the present invention.
  • FIG. 3 is a hardware structural diagram of a monitoring system according to a second preferred embodiment of the present invention.
  • FIG. 1 is a schematic diagram of a method for managing monitoring video big data according to a first preferred embodiment of the present invention. The method is as shown in FIG.
  • Step S101 The monitoring system receives the first video information delivered by the camera.
  • Step S102 The monitoring system compares the first video information with the second video information before the camera.
  • Step S103 If the monitoring system is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is stored.
  • the technical solution provided by the present invention determines whether to store the video file according to a specific situation, and dynamically manages the video file, so that it has the advantage of improving user experience.
  • the monitoring system identifies whether different parts of the first video information and the second video information are character information, and if not, the first video information is deleted.
  • the monitoring system collects the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompting the user to organize the big data video information of the monitoring system.
  • FIG. 2 is a management system for monitoring video big data according to a second preferred embodiment of the present invention.
  • the system is as shown in FIG. 2, and includes:
  • the transceiver unit 201 is configured to receive first video information delivered by the camera
  • the processing unit 202 is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored. If the comparison is inconsistent, the first video is used. Information storage.
  • the technical solution provided by the present invention determines whether to store the video file according to a specific situation, and dynamically manages the video file, so that it has the advantage of improving user experience.
  • the processing unit 202 is configured to identify whether different parts of the first video information and the second video information are person information, and if not the person information, delete the first video information.
  • the processing unit 202 is configured to collect the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompt the user to organize the big data video information of the monitoring system.
  • FIG. 3 is a monitoring system 30, including: a processor 301, a wireless transceiver 302, a memory 303, and a bus 304.
  • the wireless transceiver 302 is configured to transmit and receive data with and from an external device.
  • the number of processors 301 can be one or more.
  • processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means.
  • Monitoring system 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.
  • the wireless transceiver 302 is configured to receive the first video information delivered by the camera.
  • the program code is stored in the memory 303.
  • the processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:
  • the processor 301 is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored. If the comparison is inconsistent, the first video is used. Information storage.
  • the processor 301 herein may be a processing component or a general term of multiple processing components.
  • the processing element can be a central processor (Central) Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated) Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as one or more microprocessors (digital singnal Processor, DSP), or one or more Field Programmable Gate Arrays (FPGAs).
  • CPU central processor
  • ASIC Application Specific Integrated Circuit
  • DSP digital singnal Processor
  • FPGAs Field Programmable Gate Arrays
  • the memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.
  • RAM random access memory
  • non-volatile memory non-volatile memory
  • flash flash
  • Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc.
  • the bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.
  • the terminal may further include input and output means connected to the bus 304 for connection to other parts such as the processor 301 via the bus.
  • the input/output device can provide an input interface for the operator, so that the operator can select the control item through the input interface, and can also be other interfaces through which other devices can be externally connected.
  • the program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.
  • ROM Read-Only Memory
  • RAM Random Access Memory

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Alarm Systems (AREA)

Abstract

La présente invention concerne un procédé qui permet de gérer des mégadonnées de vidéos de surveillance, le procédé comprenant les étapes suivantes : un système de surveillance reçoit des premières informations vidéo transmises par une caméra ; le système de surveillance compare les premières informations vidéo à des secondes informations vidéo précédentes de la caméra ; si le résultat de la comparaison correspond, le système de surveillance ne stocke pas les premières informations vidéo et, si le résultat de la comparaison ne correspond pas, le système de surveillance stocke les premières informations vidéo. La solution technique fournie dans la présente invention présente l'avantage d'une bonne expérience d'utilisateur.
PCT/CN2017/075767 2017-03-06 2017-03-06 Procédé et système de gestion des mégadonnées de vidéos de surveillance WO2018161219A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/075767 WO2018161219A1 (fr) 2017-03-06 2017-03-06 Procédé et système de gestion des mégadonnées de vidéos de surveillance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/075767 WO2018161219A1 (fr) 2017-03-06 2017-03-06 Procédé et système de gestion des mégadonnées de vidéos de surveillance

Publications (1)

Publication Number Publication Date
WO2018161219A1 true WO2018161219A1 (fr) 2018-09-13

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PCT/CN2017/075767 WO2018161219A1 (fr) 2017-03-06 2017-03-06 Procédé et système de gestion des mégadonnées de vidéos de surveillance

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101547344A (zh) * 2009-04-24 2009-09-30 清华大学深圳研究生院 基于联动摄像机的视频监控装置及其跟踪记录方法
CN101710978A (zh) * 2009-11-23 2010-05-19 北京中星微电子有限公司 针对atm视频监控的录像控制方法和控制装置
CN101763388A (zh) * 2008-12-25 2010-06-30 北京中星微电子有限公司 视频检索方法、系统、设备及视频存储方法、系统
CN102467800A (zh) * 2010-11-05 2012-05-23 无锡市美网网络信息技术有限公司 一种入侵检测报警系统
CN102665054A (zh) * 2012-05-10 2012-09-12 江苏友上科技实业有限公司 一种用人脸快速检索的网络视频录像机系统
CN106603952A (zh) * 2017-03-06 2017-04-26 深圳市博信诺达经贸咨询有限公司 监控视频大数据的管理方法及系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101763388A (zh) * 2008-12-25 2010-06-30 北京中星微电子有限公司 视频检索方法、系统、设备及视频存储方法、系统
CN101547344A (zh) * 2009-04-24 2009-09-30 清华大学深圳研究生院 基于联动摄像机的视频监控装置及其跟踪记录方法
CN101710978A (zh) * 2009-11-23 2010-05-19 北京中星微电子有限公司 针对atm视频监控的录像控制方法和控制装置
CN102467800A (zh) * 2010-11-05 2012-05-23 无锡市美网网络信息技术有限公司 一种入侵检测报警系统
CN102665054A (zh) * 2012-05-10 2012-09-12 江苏友上科技实业有限公司 一种用人脸快速检索的网络视频录像机系统
CN106603952A (zh) * 2017-03-06 2017-04-26 深圳市博信诺达经贸咨询有限公司 监控视频大数据的管理方法及系统

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