摘要：This study is aimed to overcome the characteristic of redundant data for video analysis, the study propose a video analysis preprocessing algorithm based on Rough Sets (RS). Firstly, the representative data of video sequences is extracted. Secondly, the Information Table is constructed by extracted representative data. Finally, the Core of Information Table is achieved by making use of the attributes reduction theory of RS. As present experimental results indicate, the algorithm can get effective and scientific data to complete video analysis such as key frame extraction and shot segment. Compared to existing techniques, thr proposed algorithm enjoys following advantages. Only a subset of frames need to be considered during video analysis. The limitations of requirements for a huge amounts of memory and CPU resource is overcome.
