A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Rotation, Translation and Scale Invariant Digital Image Watermarking
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Geometrically invariant watermarking using feature points
IEEE Transactions on Image Processing
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Video watermarking hides information (e.g. ownership, recipient information, etc) into video contents. Video watermarking research is classified into (1) extension of still image watermarking, (2) use of the temporal domain features, and (3) use of video compression formats. In this paper, we propose a watermarking scheme to resist geometric attack (rotation, scaling, translation, and mixed) for H.264 (MPEG-4 Part 10 Advanced Video Coding) compressed video contents. We analyzed our perceptual model for video watermark in maximal capacity aspects, and experimented with the standard image and video sequences. Simulation results show that our video watermarking scheme is robust against H.264 video compression (average PSNR = 31 dB) and geometric attacks (rotation with 0-90 degree, scaling with 75-200%, and 50%~75% cropping).