Watermarking of uncompressed and compressed video
Signal Processing
Video Processing and Communications
Video Processing and Communications
Missing data correction in still images and image sequences
Proceedings of the tenth ACM international conference on Multimedia
Video Watermark Technique in Motion Vector
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Motion compensated film restoration
Machine Vision and Applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
New intra-video collusion attack using mosaicing
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Assessing motion-coherency in video watermarking
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
A new inter-frame collusion attack and a countermeasure
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Digital Video Steganalysis Exploiting Statistical Visibility in the Temporal Domain
IEEE Transactions on Information Forensics and Security
Statistical invisibility for collusion-resistant digital video watermarking
IEEE Transactions on Multimedia
Motion-compensated 3-D subband coding of video
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Video steganography with perturbed motion estimation
IH'11 Proceedings of the 13th international conference on Information hiding
Motion compensated compressed domain watermarking
Proceedings of the 21st ACM international conference on Multimedia
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Motion coherency has recently been identified as a desirable property for watermarks embedded within video streams in order to withstand temporal frame averaging along the motion axis. Nevertheless, no tool has been proposed to easily evaluate the motion coherency of a given watermarking system. Today, this assessment relies on a computationally expensive procedure, namely, 1) embed a watermark, 2) perform temporal frame averaging, and 3) check for the presence of the watermark. In this article, a novel oracle is designed to detect whether a video stream contains any motion-incoherent component or not. Since such incoherence can be introduced by nonmotion-coherent watermarking algorithms, this tool has proven to be most valuable to distinguish watermarked from nonwatermarked content. The oracle relies on some features extracted from error frames after motion compensation. Experimental results demonstrate the efficiency of the proposed method with uncompressed and compressed video streams.