Comparison of sequence matching techniques for video copy detection

Video copy detection is a complementary approach to watermarking. As opposed to watermarking, which relies on inserting a distinct pattern into the video stream, video copy detection techniques match content-based signatures to detect copies of video. Existing typical content-based copy detection schemes have relied on image matching. This paper proposes two new sequence-matching techniques for copy detection and compares the performance with one of the existing techniques. Motion, intensity and color-based signatures are compared in the context of copy detection. Results are reported on detecting copies of movie clips.