Video watermarking using wavelet transform and tensor algebra

We present a robust, hybrid non-blind MPEG video watermarking technique based on a high-order tensor singular value decomposition and the discrete wavelet transform (DWT). The core idea behind our proposed technique is to use the scene change analysis to embed the watermark repeatedly into the singular values of high-order tensors computed form the DWT coefficients of selected frames of each scene. Experimental results on video sequences are presented to illustrate the effectiveness of the proposed approach in terms of perceptual invisibility and robustness against attacks. Keywords Video watermarking · Tensor singular value decomposition · Wavelet transform

• Type: Journal
• Year: 2010
• Where: SIVP
• Authors: Emad E. Abdallah, A. Ben Hamza, Prabir Bhattacharya
• Keywords: Singular Value, Singular Value Decomposition, SIVP 2010, Tensor Singular Value