An efficient method for scene cut detection

摘要

In many applications such as video browsing, indexing of relevant scenes in a video sequence is important for their efficient retrieval. Such indexing is most commonly done by identifying scene cuts which represent the boundary be- tween video shots. Scene cut detection involves the identification of frames at which the content of the scene is sig- nificantly different from that of the previously retained frames. This requires computing an appropriate metric that characterizes the change in video content between two frames and a threshold to determine whether the change is large enough for the frame to be defined as a scene cut frame. In this paper, we propose a novel method to detect scene cuts adaptively using a difference metric based on the color histograms of successive frames of a video sequence. An entropic thresholding method is used to obtain the threshold automatically for identifying scene cuts. We further apply a re- finement procedure to remove false detection. Experimental results are presented to illustrate the good performance of the method.