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Digital video watermarking using singular value decomposition and 2D principal component analysis

被引：1
|
作者：
Kaufman, Jason [1 ]
Celenk, Mehmet [1 ]
机构：
[1] Ohio Univ, Sch Elect Engn & Comp Sci, Stocker Ctr, Athens, OH 45701 USA
来源：
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词：
2DPCA; SVD; video watermarking;
D O I：
10.1109/ICIP.2006.312982
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present a new digital video watermarking technique using singular value decomposition (SVD) and two-dimensional principal component analysis (2DPCA). The SVD is used to utilized in the spatial domain while the 2DPCA is employed for embedding in the time domain. We demonstrate that the framework based on the combined use of SVD and 2DPCA well-suited to multichannel video with an arbitrary number of signal channels. Our preliminary research results indicate that the proposed method yields watermarked video with little or no perceptible distortion.
引用
收藏
页码：2561 / +
页数：2
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