3D Video Fingerprinting
Vikas Ramachandra, Matthias Zwicker, Truong Q. Nguyen · 2008
Two new attacks on multiview videos in the view space is investigated, which is also applicable to stereo and free-view television. The first attack involves the generation of new views from different viewpoints. The second attack involves change in the region of focus (the display plane or the zero disparity plane) in the multiview images. A scale invariant feature descriptor (SIFT) based fingerprinting mechanism which can identify such attacks is developed. An online verification system matches the SIFT descriptors of the original video (stored at a central database) to that of the attacked video. Results show that the method can detect such attacks well, and is useful for copy detection on the internet.