Leo Liberti, James Ostrowski
Journal of Global Optimization
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. © 2002 SPIE · 0277-786X/02/$15.00.
Leo Liberti, James Ostrowski
Journal of Global Optimization
Sankar Basu
Journal of the Franklin Institute
J.P. Locquet, J. Perret, et al.
SPIE Optical Science, Engineering, and Instrumentation 1998
Igor Devetak, Andreas Winter
ISIT 2003