Video Watermarking and Benchmarking
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Detection of motion-incoherent components in video streams
IEEE Transactions on Information Forensics and Security
Blind robust watermarking of 3d motion data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Network-based traitor-tracing technique using traffic pattern
IEEE Transactions on Information Forensics and Security
Risk-distortion analysis for video collusion attacks: a mouse-and-cat game
IEEE Transactions on Image Processing
NPT based video watermarking with non-overlapping block matching
Transactions on computational science XI
A new inter-frame collusion attack and a countermeasure
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Effectiveness of ST-DM watermarking against intra-video collusion
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Spatial video watermarking based on stability of DC coefficients
ICMLC'05 Proceedings of the 4th international conference on Advances in Machine Learning and Cybernetics
Collusion, MPEG4 compression and frame dropping resistant video watermarking
Multimedia Tools and Applications
Novel robust image watermarking based on subsampling and DWT
Multimedia Tools and Applications
Blind robust watermarking mechanism based on maxima curvature of 3d motion data
IH'12 Proceedings of the 14th international conference on Information Hiding
Joint watermarking and encryption for still visual data
Multimedia Tools and Applications
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We present a theoretical framework for the linear collusion analysis of watermarked digital video sequences, and derive a new theorem equating a definition of statistical invisibility, collusion-resistance, and two practical watermark design rules. The proposed framework is simple and intuitive; the basic processing unit is the video frame and we consider second-order statistical descriptions of their temporal inter-relationships. Within this analytical setup, we define the linear frame collusion attack, the analytic notion of a statistically invisible video watermark, and show that the latter is an effective counterattack against the former. Finally, to show how the theoretical results detailed in this paper can easily be applied to the construction of collusion-resistant video watermarks, we encapsulate the analysis into two practical video watermark design rules that play a key role in the subsequent development of a novel collusion-resistant video watermarking algorithm discussed in a companion paper.