DocumentCode
3242812
Title
A Robust Video Watermarking Algorithm Resistant to Geometry Transformation Attacks Based on Background
Author
Pang, Lei ; Wu, Yi-quan
Author_Institution
Coll. of Inf. Sci. & Technol, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
fYear
2008
fDate
22-24 Oct. 2008
Firstpage
1
Lastpage
6
Abstract
How to resist geometry transformation attacks effectively has become a focus of digital watermarking. In this paper a video blind watermarking algorithm resistant to geometry transformation attacks is proposed. In the scheme of watermark embedding, video shot segmentation is used first. Then, background of a video segment in the video shot is extracted by independent component analysis(ICA). Finally, the background image is decomposed by nonsubsampled Contourlet transform(NSCT) and meaningful watermark is embedded into the lowpass subband. In the scheme of watermark extraction, video segment embedded with watermark in the video shot is analyzed by ICA and the background image with watermark information is extracted first. Then, video segment embedded with watermark and other frames in the video shot are analyzed by ICA, and the background image without watermark information is extracted. Finally, the two background images are decomposed by NSCT, and the watermark is extracted though detecting the distinction of the lowpass subbands of the two background images. Experimental results show that, this algorithm can make the watermark resist geometry transformation attacks effectively and keep the visual quality of the video. In addition, it also has enough robustness to resist other attacks.
Keywords
image segmentation; independent component analysis; security of data; transforms; video coding; watermarking; background image decomposition; digital watermarking; geometry transformation attack resistance; independent component analysis; lowpass subband embedding; nonsubsampled contourlet transform; video blind watermarking algorithm; video frame analysis; video segment background extraction; video shot segmentation; video visual quality; watermark embedding; watermark extraction; Data mining; Focusing; Geometry; Image analysis; Image segmentation; Independent component analysis; Information analysis; Resists; Robustness; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2008. CCPR '08. Chinese Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2316-3
Type
conf
DOI
10.1109/CCPR.2008.70
Filename
4663023
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