计算机应用 ›› 2010, Vol. 30 ›› Issue (10): 2691-2693.

• 信息安全 • 上一篇    下一篇

基于多维标度和奇异值分解的视频水印算法

聂秀山1,刘琪2,秦丰林3   

  1. 1. 山东财政学院
    2. 山东大学 网络与信息中心
    3.
  • 收稿日期:2010-04-21 修回日期:2010-06-17 发布日期:2010-09-21 出版日期:2010-10-01
  • 通讯作者: 聂秀山
  • 基金资助:
    国家自然科学基金资助项目

Video watermarking based on multi-dimensional scaling and singular value decomposition

  • Received:2010-04-21 Revised:2010-06-17 Online:2010-09-21 Published:2010-10-01

摘要: 针对于网络中的视频资源的知识产权问题,提出一种基于多维标度(MDS)和奇异值分解( SVD)的视频水印算法。该方法首先利用MDS把原始视频各帧投影到二维平面上,然后利用SVD的方法把水印信息嵌入到视频帧与其在二维平面上投影点之间的差值上。实验证明,该算法对随机噪声干扰和诸如旋转、平移、裁剪等空间同步失真的攻击有较强的鲁棒性;另外,该算法对帧丢弃、帧插入等时间同步失真也具有一定程度的鲁棒性。

关键词: 多维标度, 奇异值分解, 视频水印, 鲁棒性, 版权保护

Abstract: Concerning the intellectual property rights of video on Internet, a new digital video watermarking method based on Multi-Dimensional Scaling (MDS) and Singular Value Decomposition (SVD) was proposed. First, the frames were mapped to points in the 2D space using MDS, and then the watermarks were embedded into the differences between the frames of video and their images under the mapping through SVD. The experimental results show that the proposed method has very strong robustness against spatial desynchronization attacks such as rotating, scaling and clipping. Furthermore, it also achieves high robustness against noise and median filtering. In addition, the method can resist temporal desynchronization such as frame dropping and insertion to some extent.

Key words: Multi-Dimensional Scaling (MDS), Singular Value Decomposition (SVD), video watermarking, robustness, copyright protection

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