Watermarking of uncompressed and compressed video
Signal Processing
Video Processing and Communications
Video Processing and Communications
New intra-video collusion attack using mosaicing
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Information-theoretic analysis of security in side-informed data hiding
IH'05 Proceedings of the 7th international conference on Information Hiding
Watermarking security: theory and practice
IEEE Transactions on Signal Processing - Part II
Security pitfalls of frame-by-frame approaches to video watermarking
IEEE Transactions on Signal Processing - Part II
Motion-compensated 3-D subband coding of video
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
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)
Video watermarking using motion compensated 2D+t+2D filtering
Proceedings of the 12th ACM workshop on Multimedia and security
A video steganalytic algorithm against motion-vector-based steganography
Signal Processing
2D+t wavelet domain video watermarking
Advances in Multimedia
Blind robust watermarking mechanism based on maxima curvature of 3d motion data
IH'12 Proceedings of the 14th international conference on Information Hiding
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Motion coherent watermarking has been recently proposed as a means to combat temporal frame averaging along the motion axis (MC-TFA). The fundamental idea consists in exploiting motion-compensation primitives to force a physcal point of the scene to always carry the same watermark sample wherever it is projected in the video. However, for a given watermarking system, there is no simple tool to assess whether the produced watermark is motion-coherent or not. Today, this assessment relies on a computationally expensive procedure, namely (i) embed a watermark, (ii) perform the MC-TFA attack, (iii) check for the presence of the watermark. Therefore, the goal of this article is to provide the community with an efficient and accurate oracle which reports whether a video sequence contains any non-motion coherent component or not. This is done in practice by looking at the statistics of the difference between a frame and a motion predicted version of it.