Efficient and reliable scene change detection in MPEG compressed video

摘要

This work presents a novel metric and a reliable algorithm for abrupt scene change detection. The new frame difference metric measures motion and content change across the video by using the motion vector and macroblock information in the MPEG compressed domain. With this new metric, a reliable scene change detection algorithm is discussed. Experimental results reveal that our scene change detection algorithm can successfully reduce the false alarms caused by local frame motion activity and at the same time increase the recall by amplifying the acceptance probability of the reliable scene change candidate.