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首页> 外文会议>Mathematics of Data/Image Pattern Recognition, Compression and Encryption with Applications IX >Data payload optimality: a key issue for video watermarking applications
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Data payload optimality: a key issue for video watermarking applications

机译：数据有效载荷的优化：视频水印应用的关键问题

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Watermarking aims at enforcing property right for digital video: a mark is imperceptibly - transparently - embedded into original data. The true owner is identified by detecting this mark. The robust watermarking techniques allow the mark detection even when the protected video is attacked. Transparency and robustness constraints restrict the mark size: the better transparency and robustness, the smaller the data payload. The paper presents a method to evaluate the maximum quantity of information which can be theoretically inserted into the 2D-DCT coefficient hierarchy, for prescribed transparency and robustness. This approach relies on the noisy channel model for watermarking. Within this mathematical framework, the maximal data payload is expressed by the channel capacity. As any capacity evaluation procedure requires an intimate knowledge of the noise sources, the paper first describes the developed statistical approach enabling: (1) to properly handle the inner dependency existing among successive frames in a video sequence, and (2) to accurately check-out the Gaussian behaviour for each noise source. The experiments were carried out in partnership with the SFR mobile service provider in France (Vodafone group).
机译：水印旨在加强数字视频的产权：商标被隐蔽地（透明地）嵌入原始数据中。通过检测该标记可以识别出真正的所有者。强大的水印技术即使在受保护的视频遭到攻击时也可以进行标记检测。透明度和健壮性约束条件限制了标记的大小：透明度和健壮性越好，数据有效负载越小。本文提出了一种评估最大信息量的方法，该方法可从理论上插入2D-DCT系数层次结构，从而达到规定的透明度和鲁棒性。这种方法依赖于噪声信道模型进行水印。在此数学框架内，最大数据有效负载由信道容量表示。由于任何容量评估程序都需要对噪声源有深入的了解，因此本文首先介绍了开发的统计方法，该方法可以：（1）正确处理视频序列中连续帧之间存在的内部依赖性，以及（2）准确检查-找出每个噪声源的高斯行为。与法国SFR移动服务提供商（沃达丰集团）合作进行了实验。

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