An improvement of auto-correlation based video watermarking scheme using perceptual masking for motion

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. 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). © Springer-Verlag Berlin Heidelberg 2005.