Special e ect edit detection using VideoTrails a comparison with existing techniques

Video Segmentation plays an integral role in many multimedia applications such as digital libraries content manage ment systems and various other video browsing indexing and retrieval systems Many algorithms for segmentation of video have appeared in the past few years Most of these algorithms perform well on cuts but yield poor per formance on gradual transitions or special e ect edits A complete video segmentation system must achieve good performance on special e ect edit detection also In this paper we discuss the performance of our VideoTrails based algorithms with other existing special e ect edit detection algorithms in literature Results from experiments testing for the ability to detect edits from TV programs ranging from commercials to news magazine programs and also diverse special e ect edits introduced by us have been shown