Robust Hash Functions for Digital Watermarking
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Spatio-temporal features for robust content-based video copy detection
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Robust and secure image hashing
IEEE Transactions on Information Forensics and Security
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In this paper, we propose two video fingerprinting methods that are robust to both geometric and non-geometric modifications on content. Both of the proposed methods are based on computation of moment invariants as features from concentric circular regions. The two methods differ in the way they capture appearance and motion information from video. In one method, we capture motion information by computing a difference image between the current video frame and a temporal average video frame computed from a past window of video frames. This method captures appearance by computing moment invariants from concentric circular regions of a video frame. In the second method, we capture appearance and motion by projecting features onto two sets of basis functions and explicitly capture how the moment invariants change over the regions and over time. We present experimental results on both of these video fingerprinting comparing their performance in terms of robustness against attacks and sensitivity to content.