Adaptively Imperceptible Video Watermarking Algorithm Using Entropy Model
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    Abstract:

    An adaptively imperceptible video watermarking algorithm using entropy model is proposed. This algorithm works by first combining the Human Visual System (HVS) with block-matching techniques to obtain motion-related information. It then uses entropy model to statistically analyze the obtained information, and eventually establish a set of non-linear formulas based on HVS and motion information. Based on the contents of video frames, this set of non-linear formulas can adaptively calculate the maximum strength of every block. Experimental results show that using entropy model and non-linear formulas can significantly improve watermarking imperceptibility, effectively resist common attacks for video watermarking, and consequently achieve higher robustness.

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    附中文参考文献: [5] 楼偶俊,王相海,王钲旋.抗几何攻击的量化鲁棒视频水印技术研究.计算机研究与发展,2007,44(7):1212?1218.
    [7] 朱仲杰,蒋刚毅,郁梅,吴训威.一种视频图像的自适应水印新算法.浙江大学学报, 2003,30(1):41?45.
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李智,陈孝威.基于熵模型的高透明性自适应视频水印算法.软件学报,2010,21(7):1692-1703

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  • Received:November 12,2007
  • Revised:December 29,2008
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