An improvement of auto-correlation based video watermarking scheme using independent component analysis

Authors:
Seong-Whan Kim;Hyun-Sung Sung
Affiliations:
Department of Computer Science, University of Seoul, Jeon-Nong-Dong, Seoul, Korea;Department of Computer Science, University of Seoul, Jeon-Nong-Dong, Seoul, Korea
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Year:
2005

Citing 4
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Abstract

Video watermarking hides information (e.g. ownership, recipient information, etc) into video contents. In this paper, we propose an auto-correlation based video watermarking scheme to resist geometric attack (rotation, scaling, translation, and mixed) for H.264 (MPEG-4 Part 10 Advanced Video Coding) compressed video contents. To embed and detect maximal watermark, we use natural image statistics based on independent component analysis. We experiment with the standard images and video sequences, and the result shows that our video watermarking scheme is more robust against geometric attacks (rotation with 0-90 degree, scaling with 75-200%, and 50%~75% cropping) than Wiener based watermarking schemes.