TY - GEN
T1 - Perceptually tuned auto-correlation based video watermarking using independent component analysis
AU - Kim, Seong Whan
AU - Sung, Hyun Sung
PY - 2005
Y1 - 2005
N2 - 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 water-mark detection based on natural image statistics. We experiment with the standard images and video sequences and the result shows that our video water-marking 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).
AB - 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 water-mark detection based on natural image statistics. We experiment with the standard images and video sequences and the result shows that our video water-marking 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).
UR - http://www.scopus.com/inward/record.url?scp=33646713399&partnerID=8YFLogxK
U2 - 10.1007/11582267_32
DO - 10.1007/11582267_32
M3 - Conference contribution
AN - SCOPUS:33646713399
SN - 3540300406
SN - 9783540300403
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 360
EP - 370
BT - Advances in Mulitmedia Information Processing - PCM 2005 - 6th Pacific Rim Conference on Multimedia, Proceedings
PB - Springer Verlag
T2 - 6th Pacific Rim Conference on Multimedia - Advances in Mulitmedia Information Processing - PCM 2005
Y2 - 13 November 2005 through 16 November 2005
ER -