The Research On Content-Based Video Copy Detection Algorithm

With the development of digital video technology, the data of digital video increases exponentially, therefore, there is an urgent need of the indexing, managing and protecting intellectual property rights (IPR) of digtal video. The technology of content-based video copy detection (called video copy detection for short) plays an important role in the aspects of video retrieval, video filter and protecting IPR. By using the technology of video copy detection, we can effectively find out the copy of digital video to protect intellectual property rights, percolate and sort the results of video retrieval, or supervise the copyrights of a digital video and its broadcasting conditions. Recently, video copy detection technology becomes a focus research.Analyzing the problems of present video copy detection algorithm, this essay makes researches on video copy detection technology from the two aspects of pixel domain and compressed domain, and proposes two effective methods. The major work of this essay are:(1) Firstly, the paper introduces video copy detection technology and some kinds of copy video; Secondly, describes the present, direction, key points of the technique. Third, describes the technical of shot detection key frame and the feature of key frame extracting and video matching.(2) In order to solve the contradiction between the number of subblocks and the robust of letter-box and pillar-box formats conversions, this essay employs the method of double deblocking based Spatiotemporal video copy detection. Fistly, the frames of video sequence are divided into two models of 2×4 and 4×2; Under these two models, the method of spatiotemporal is employed to calculate the similarities of spatio features between original video and test video and uses the higher similarity as spatio feature similarity. And then, it mesures the video similarity by combining spatio feature similarity with temporal feature similarity. The results of the experiment show that this method not only ensures the robust of letter-box, pillar-box formats and other formats conversions, and also has high precision.(3) It proposes a method of compressed domain video copy detection based upon visual Perception. In order to improve the speed of the detection, it directly extracts feature from dct domain, and uses the two-level hierarchical detection scheme with creating index to reduce the time of process. In the process of extracting feature, by the different human sensitivity of different areas and frequency, extracts the ordinal feature of DC and AC coefficients. The experiment results show, compared with the previous algorithm, the algorithm can enhances the robustness of multiple copy video attack and improves the detection speed obviously with the higher detection precision.