TY - JOUR
T1 - A natural modification of autocorrelation based video watermarking scheme using ICA for better geometric attack robustness
AU - Kim, Seong Whan
AU - Park, Hyun Jin
AU - Sung, Hyunseong
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 watermark detection based on natural image statistics. We experimented 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).
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 watermark detection based on natural image statistics. We experimented 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).
UR - http://www.scopus.com/inward/record.url?scp=26844513343&partnerID=8YFLogxK
U2 - 10.1007/11539117_66
DO - 10.1007/11539117_66
M3 - Conference article
AN - SCOPUS:26844513343
SN - 0302-9743
VL - 3611
SP - 451
EP - 460
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
IS - PART II
T2 - First International Conference on Natural Computation, ICNC 2005
Y2 - 27 August 2005 through 29 August 2005
ER -