Perceptually tuned auto-correlation based video watermarking using independent component analysis

Authors:
Seong-Whan Kim;Hyun-Sung Sung
Affiliations:
Department of Computer Science, University of Seoul, Seoul, Korea;Department of Computer Science, University of Seoul, Seoul, Korea
Venue:
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Year:
2005

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Abstract

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. Our scheme is based on auto-correlation method for geometric attack, a video perceptual model for maximal watermark capacity, and watermark detection based on natural image statistics. We experiment with the standard images and video sequences and the result shows 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).