基于多维标度和奇异值分解的视频水印算法

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。

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

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.