DocumentCode :
3184010
Title :
A Video Watermarking Scheme Based on 3D-DWT and Neural Network
Author :
Li, Xuefang ; Wang, Rangding
fYear :
2007
fDate :
10-12 Dec. 2007
Firstpage :
110
Lastpage :
115
Abstract :
In this paper, we propose a novel digital video watermarking scheme based on 3D-DWT and artificial neural network. First, a 3D wavelet transform is performed on each selected video shot, then the watermark is embedded in the LL subband wavelet coefficients of the low-pass frames, therefore the scheme has strong robustness against common video processing attacks. At the same time, in order to guarantee the perceptual invisibility, the coefficient is selected adaptively to embed the watermark and the embedding intensity is adaptively controlled using the statistical characteristics (mean and standard deviation). In addition, embedding and extraction of the watermark are based on the relationship between a wavelet coefficient and its neighbor´s. A neural network is given to memorize the relationships among the coefficients in a 3×3 block. The watermark extraction process does not require the original video. Experimental results show that the embedded watermark is robust and invisible.
Keywords :
Artificial neural networks; Digital images; Discrete transforms; Discrete wavelet transforms; Neural networks; Protection; Robustness; Watermarking; Wavelet coefficients; Wavelet domain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Workshops, 2007. ISMW '07. Ninth IEEE International Symposium on
Conference_Location :
Taichung, Taiwan
Print_ISBN :
9780-7695-3084-0
Type :
conf
DOI :
10.1109/ISM.Workshops.2007.29
Filename :
4475958
Link To Document :
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