Design And Implementation Of Content-Based Short Video Copy Detection System

With the rapid development of network technology and multimedia technology,video data on the network has grown rapidly.Facing the massive amount of video data,how to quickly and effectively detect redundant data in a video database,how to effectively perform copyright protection becomes a very urgent need for video copy detection.This article mainly designs and implements a content-based short video copy detection system.The user can use this system to upload the video to be tested,query the database for similar video segments to the test video,so as to achieve the detection of video copy.In this paper,we have studied and discussed the Web development technology of B/S architecture in depth,followed the design concepts of front-end separation,and divided the system into the following five modules:(1)Video acquisition module:Provide portal for users to upload local video or network video.The system will initially process the video.The local video will calculate and match the MD5 value.The network video will perform security detection.(2)Data storage and management module:It is mainly responsible for the storage and management of video data and feature data.It is the basic function module of the system and provides basic services for video copy detection.(3)Target detection module:For one or more specified videos,the copy detection of the specified video library is the core function of the system.It is mainly used for video source investigation and copyright maintenance.(4)Global detection module:The copy detection of a specified video library or global video library is also a core function of the system and is mainly used for video library check.(5)Data visualization module:The system statistics and inspection results are visualized and graphically displayed to the user.The author independently completed the architecture and development of the entire system.The system has been operating stably in a laboratory environment.After testing,it has been verified that the system can correctly and effectively provide the basic functions of a content-based short video copy detection system.