Similar video retrieval system based on frame correlation coefficient and perceptual hash

A frame correlation coefficient and perceptual hash technology, applied in the field of similar video retrieval systems, can solve the problems of time-consuming and labor-intensive, low degree of hardwareization, low system accuracy, etc. Convenient and fast effects

Active Publication Date: 2020-04-28
FUZHOU UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

It solves the problems of time-consuming and labor-intensive traditional manual retrieval methods, low system accuracy and low hardware level

Method used

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  • Similar video retrieval system based on frame correlation coefficient and perceptual hash
  • Similar video retrieval system based on frame correlation coefficient and perceptual hash
  • Similar video retrieval system based on frame correlation coefficient and perceptual hash

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Embodiment Construction

[0040] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0041] The invention provides a similar video retrieval system based on frame correlation coefficient and perceptual hash, comprising a video acquisition module, a DDR2 SDRAM memory, a NOR FLASH memory, a DSP processor, a GPU computing unit, a Nand FLASH memory and an output display module;

[0042] The video acquisition module is used to receive the video input by the user, and extract the image frames whose input video frame number is n, and transmit each image frame to the DDR2 SDRAM memory for buffering in real time;

[0043] Described DDR2 SDRAM memorizer is used for buffering the video image frame that gathers, and carries out data transformation to image frame;

[0044] The NOR FLASH memory is used to store feature information extraction algorithm modules and matching retrieval algorithm modules;

[0045] The DSP processor process...

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Abstract

The invention relates to a similar video retrieval system based on a frame correlation coefficient and perceptual hash; a video acquisition module is connected with the DSP processor through the DDR2SDRAM memory, a video database is connected with the DSP processor through the Nand FLASH memory, and the DSP processor is connected with the NOR FLASH memory, the GPU computing unit and the output display module. The video acquisition module is used for receiving a video input by a user; the DDR2 SDRAM memory is used for caching the acquired video image frames and carrying out data conversion onthe video image frames; the NOR FLASH memory is used for storing the feature information extraction algorithm module and the matching retrieval algorithm module; the DSP processor is responsible for algorithm execution, the GPU computing unit is used for increasing the algorithm computing speed, the Nand FLASH memory is used for storing video feature information of a video database, and the outputdisplay module is used for displaying a matching retrieval result. According to the invention, the feature information of the input video can be rapidly extracted, the target similar video is retrieved, and the problems that a traditional manual retrieval mode consumes time and labor, the system precision is not high and the hardware degree is low are solved.

Description

technical field [0001] The invention belongs to the field of video retrieval, in particular to a similar video retrieval system based on frame correlation coefficient and perceptual hash. Background technique [0002] With the rapid development of computer multimedia technology and Internet communication technology, more and more videos are uploaded and downloaded. These videos have been uploaded, downloaded, viewed and edited and then re-uploaded online, resulting in the Internet being flooded with videos with similar content. These videos with similar content will bring huge losses to the interests of copyright owners, increase storage costs of operators, and affect the accuracy of user retrieval of videos, seriously affecting user experience. Considering the above problems, the research of similar video retrieval (SVR) becomes increasingly important. [0003] In the current era of big data, similar video retrieval is facing huge challenges: the explosive growth of video...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/732G06F16/738
CPCG06F16/7328G06F16/738
Inventor 魏榕山李晨嘉吴剑涵张鼎盛曹嘉祺
Owner FUZHOU UNIV
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