Self-adaptive MPEG video watermarking based on block perceptual features

This paper presents a novel MPEG video-watermarking algorithm based on DCT-domain perceptual model. Its main idea is to generate a self-adaptive video watermarking in accordance with human perceptual model. The algorithm first divides the DCT-domains and computes the masking coefficients by block features. Second, the coefficient is corrected by self-adaptive modification. Finally, the copyright protection is embedded into the blocks according to the modified coefficients respectively. The watermarking method presented here does not require the use of the original signal for watermark detection. The watermark signal is generated by using a chaotic map and a key. Furthermore, the watermark is embedded in three-layer model, which ensures a more exciting result of "synchronization" between the watermark and the video scene and guarantees a more robust watermark. Experimental data show that watermarked video is resistant to several video degradations and distortions.