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Due to the wide variety of copy videos, the existing video copy detection methods using single feature face great challenges, especially for video content matching, which are difficult to deal with various copy video transformations. To overcome this problem, a video copy detection method based on sparse representation of MPEG-2 spatial and temporal features is proposed in this paper. Firstly, the...
This thesis mainly study the problem of the accuracy and optimization of the feature extraction on the points of interest in images. Due to the complexity of the image and the interference of noise in the image, the traditional feature extraction algorithm based on the points of interest is difficult to extract the information which users interested in. In order to solve the above problems, an improved...
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