Video segmentation is an elementary operation for video index construction. A video sequence is usually decomposed into several basic meaningful segments. We propose a new approach to detect shot changes for video segmentation, which is based on the processing of MPEG compressed video data. This approach takes advantage of the information implied in the compressed data. The reference ratios among video frames are analyzed to determine their similarities. A shot change is detected if the similarity degrees of a frame and its adjacent frames are low. A function is used to quantize the results into the shot change probabilities. Considering the motion variations of video contents between frames, a conversion function is designed to increase the correctness of the shot change detection. The experimental results show the performance of our approach.
['Tony C. T. Kuo', 'Yi-Bing Lin', 'Arbee L. P. Chen', 'Shu-Chin Su Chen', 'Cheng-Yao Ni']
Efficient shot change detection on compressed video data