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This video watermarking method uses human vision models of color information to control watermark strength and has immunity to rotations, scale changes, translations, and random distortion. It determines the watermark strength in L*u*v* space, where human-perceived degradations of picture quality can be measured in terms of Euclidian distance, but embeds and detects watermarks in YUV space, where the detection is more reliable than the robust watermarking scheme we previously proposed. An experimental evaluation using actual video samples demonstrated that the method can embed more watermarks while keeping the same picture quality and can detect them reliably in watermarked pictures that had gone through all four types of transformations. The method can be used in various watermarking schemes.
Date of Conference: 26-28 Nov. 2007