Abstract
In this paper, a system called PixSO (Pixel-level comparison, Segmentation and Object Tracking) is presented for effective shot change detection using an unsupervised object segmentation algorithm and the technique of object tracking based on the segmentation mask maps. The detection method was tested on TV news, commercial, sports and documentary video sequences which contain different types of shots having different object and camera motions. The Our results have shown that the PixSO system can not only produce accurate shot change detection, but also obtain object level information of the video frames, which is very useful for video content indexing and analysis in multimedia databases.
