Generating and reducing video summary with adaptive CCV and equivalent relation clustering
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    Abstract:

    It is very essential to extract representative frames in the process of generating video summary. A method is proposed which analyses the color features of the video frames, sets the connectivity threshold values automatically according to the contents, extracts the color coherence vectors (CCV) and then performs adaptive clustering based on equivalent relation. After global partition, local partition was revised with time sequential features. The whole process does not need to set any threshold values. The experiments with diverse videos yields effective results.

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罗斌,戴玉名,翟素兰.自适应CCV及等价关系聚类的视频摘要的生成[J].重庆大学学报,2010,33(2):69~72

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  • Received:October 21,2009
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