Network video traceability system based on deep learning

Abstract

The invention discloses a network video traceability system based on deep learning, which comprises a publisher user side, a cloud server, a user client side, an artificial neural network, a video processing module and a traceability module, and is characterized in that the publisher user side is used for publishing a network video by a publisher, and the cloud server is used for receiving, processing, storing and sending the network video; the user client is used for a user to receive a network video, and the artificial neural network is used for establishing network communication between the user side, the cloud server and the user client; according to the method, tracing recording and tracing can be carried out on network video reloading and downloading users while tracing of video authors is realized, the network video authors can conveniently understand video work reloading and downloading tracing, the use effect is better, preliminary auditing of network video data is realized, illegal videos are prevented from being uploaded, reloaded and downloaded. Meanwhile, the energy of manual auditing is reduced, and the method is more practical.

Description

technical field [0001] The invention relates to the field of network video processing, in particular to a network video source tracing system based on deep learning. Background technique [0002] With the development of science and technology, the coverage of network communication has become more and more extensive. Video has become the main tool for people to record information. At the same time, various video works are also circulated on the Internet. Some users reprint or download, and the network video traceability system based on deep learning is a network video traceability system based on artificial neural network, which is mainly used to trace the author of the video; [0003] However, there are certain deficiencies in the existing network video traceability system based on deep learning that need to be improved. First, the existing network video traceability system based on deep learning cannot trace the source traceability of reprinted and downloaded users. It is ...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the existing network video traceability system based on deep learning cannot trace the source traceability of the reprinted and downloaded user end, resulting in the author being unable to understand the reprinted and downloaded traceability of the produced network video, and the use effect is poor; secondly , the existing network video traceability system based on deep learning cannot conduct a preliminary review of the video, cannot intercept illegal videos, and has technical problems with poor functionality

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