International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

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)
  • Published : 2008.12.31
Download PDF
⟨ Previous Next ⟩

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

References

  1. P. Samuelson, "Digital media and the law," Association for Computing Machinery, vol. 34, no. 10, pp. 23-28, October 1991
  2. E. Lin, A. Eskicioglu, R. Lagendijk, and E. Delp, "Advances in digital video content protection," Proc. IEEE, vol. 93, no. 1, pp. 171-183, January 2005 https://doi.org/10.1109/JPROC.2004.839623
  3. T. Chung, M. Hong, Y. Oh, D. Shin, and S. Park, "Digital watermarking for copyright protection of MPEG2 compressed video," IEEE Trans. on c, vol. 44, no. 3, pp. 895-901, August 1988
  4. U. Uludag and A. Jain, "Multimedia content protection via biometrics-based encryption," Proc. of ICME '03, pp. 237-40, 2003
  5. J. Berry, The History and Development of Fingerprinting, in Advances in Fingerprint Technology, CRC Press, Florida, pp. 1-38, 1994
  6. S. Hsieh, H. Huang, and I. Tsai, "A copyright protection scheme for gray-level image using human fingerprint image as watermarks, information technology," Proc. of Int. Conf. Information Technology: New Generations, pp. 482-489, April 2006
  7. S. Jung, D. Lee, S. Lee, and J. Paik, "Biometric data-based robust watermarking scheme of video streams," Proc. of Int. Conf. Information, Communications and Singal Processing, December 2007
  8. G.-S. Choi, K.-W. Lee, S.-W. Lee, K.-S. Lee, and S.-W. Kim, "Fingerprint verification system with improved image enhancement and reliable matching," Proc. of Int. Conf. Consumer Electronics, pp. 4-5, June 2000
  9. L. Hong, A. Jian, and S. Pankanti, "Fingerprint enhancement," Proc. of Workshop on Applications of Computer Vision, pp. 202-207, December 1996
  10. B. Sherlock, D. Monro, and K. Millard, "Fingerprint enhancement by directional Fourier filtering," IEE Proceedings - Vision Image and Signal Processing, vol. 141, pp. 87-94, April 1994
  11. H. Tuan, T. Son, P. Apkarian, and T. Nguyen, "Low-order IIR filter bank design," IEEE Trans. on Circuits and Systems I, pp. 1673-1683 August 2005
  12. VeriFinger 5.0 algorithm demo, http://www.neurotechnologija.com