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Digital Video Watermarking using Singular Value Decomposition and 2D Principal Component Analysis

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2 Author(s)
Jason Kaufman ; School of Electrical Engineering and Computer Science, Ohio University, Stocker Center, Athens, OH 45701 USA ; Mehmet Celenk

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.

Published in:

2006 International Conference on Image Processing

Date of Conference:

8-11 Oct. 2006