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Rough Set based reduction algorithm is adopted as a method for feature selection in abrupt shot boundary detection. First, some information of macro blocks is extracted in P frame of MPEG video sequence. Then the information of the motion-activity, the type of macro blocks and the motion-distribution are obtained by analyzing MPEG compressed-domain. Combined these information with the difference of pixel and the difference of histogram the abrupt shot detection can be achieved. The simulation experimental results show that the detection model combined Rough Set with SVM is effective in features selection. Some useful features for abrupt shot detection are discovered.

Features Extraction and Selection Based on Rough Set and SVM in Abrupt Shot Detection