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Robust Watermarking for Compressed Video Using Fingerprints and Its Applications  

Jung, Soo-Yeun (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee, Dong-Eun (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Lee, Seong-Won (Dept. of Computer Engineering, Kwangwoon University)
Paik, Joon-Ki (Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University)
Publication Information
International Journal of Control, Automation, and Systems / v.6, no.6, 2008 , pp. 794-799 More about this Journal
Abstract
This paper presents a user identification method at H.264 streaming using watermarking with fingerprints. The watermark can efficiently reduce the potential danger of forgery or alteration. Especially a biometric watermark has convenient, economical advantages. The fingerprint watermark can also improve reliability of verification using automated fingerprint identification systems. These algorithms, however, are not robust against common video compression. To overcome this problem, we analyze H.264 compression pattern and extract watermark after restoring damaged watermark using various filters. The proposed algorithm consists of enhancement of a fingerprint image, watermark insertion using discrete wavelet transform and extraction after restoring. The proposed algorithm can achieve robust watermark extraction against H.264 compressed videos.
Keywords
Fingerprint; IIR filter; watermarking; wavelet;
Citations & Related Records

Times Cited By Web Of Science : 0  (Related Records In Web of Science)
Times Cited By SCOPUS : 1
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