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Research On Video Region Of Interest Detection And Encryption Based On H.264 / AVC

Posted on:2017-05-20Degree:MasterType:Thesis
Country:ChinaCandidate:W WangFull Text:PDF
GTID:2278330488466899Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
With the prosperity and development of the network video application market, network video data is malicious tampering or illegal access to the phenomenon of frequent, video information protection technology can effectively ensure the video data in the network transmission and storage security, improve the application environment of network video. However, in the face of a large number of network video application products and a wide variety of applications demand, existing video information protection technology of the lack of special scene on video coding special structure and the application of video analysis, only to meet the security needs, while ignoring the practical application in real time, compatibility and efficiency of demand.Aiming at the problems existing in the current video information protection technology, this thesis analyzes the special structure of the H.264/AVC video compression coding to optimize the face detection algorithm and improve the motion detection algorithm. At the same time, the Logistic chaotic map and Henon chaotic map are used to construct the compound chaotic stream encryption device, and the CAVLC coding process of H.264/AVC video is encrypted. Ultimate realize a kind of encryption algorithm based on h.264/AVC entropy coding region of interest, the algorithm without lowering the security and improve the efficiency of encryption, ensure that the encrypted video data format compatibility. The main content of this thesis includes the following aspects.Firstly, by discussing the structure of H.264/AVC video encoding features, several classical video encryption algorithms are analyzed,, as well as the advantages and disadvantages of these algorithms.Secondly, according to the detection of two kinds of regions of interest based on face recognition and moving objects, several existing classical detection algorithms are analyzed. In this thesis, we propose an improved algorithm to improve the detection efficiency and precision.Finally, combined with the chaos theory, the entropy coding of H.264/AVC video is selected to encrypt the encryption, to ensure the compatibility of the encrypted video, and to prove the security of the encrypted video.
Keywords/Search Tags:Video encryption, H.264/AVC encoding, Region of Interest, Complex Chaotic Sequence
PDF Full Text Request
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