一种基于ICA的视频盲水印方案

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 Pub Date : 1900-01-01 DOI:10.1109/ICNNSP.2003.1281067

Jiande Sun, Ju Liu, M. Lagunas

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引用次数: 3

摘要

提出了一种基于原始视频运动估计的视频盲水印方案。通过独立分量分析(ICA)从后续帧中提取运动分量。由于运动分量对视频至关重要，而压缩对运动分量的影响很小，因此根据相邻小波系数的均值将水印嵌入到运动分量中。该方法可以实现水印的盲提取，并且出现错误的概率很小。计算机仿真结果表明，该方案具有较好的鲁棒性和不可见性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An blind video watermarking scheme based on ICA

A novel blind video watermarking scheme based on motion estimation of original video is proposed in this paper. The motion component is extracted by independent component analysis (ICA) from the sequent frames. The watermark is embedded into the motion component according to the mean of the neighboring wavelet coefficients because the motion component is essential to the video and the compression affects little on it. The watermark can be extracted blindly and there is little probability of false error. Computer simulations show the good performance of the proposed scheme in robustness and invisibility.

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来源期刊

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003

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