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

Video watermarking hides information (e.g. ownership, recipient information, etc) into video contents. In this paper, we propose an autocorrelation 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%similar to 75% cropping) than Wiener based watermarking schemes.