A Novel Blind Video Watermarking Scheme Based on Independent Dynamic Component

Original Article

Abstract

Video copyright protection has become important as it is possible to make unlimited copies of digital video without quality loss. Video watermark is the main method of video copyright protection. A novel blind video watermarking scheme is proposed in this paper, in which independent component analysis (ICA) is used to extract the common static component and relative dynamic component from the consecutive frames. And then a designed watermark is embedded into the wavelet coefficients of the obtained dynamic component according to the 4-neighboring-mean based algorithm. The binarization of the 3-level-approximate sub-image of the I-frame in each GOP (GOP-Group of Picture) is selected as the watermark for this GOP. Given such watermark, the scheme can easily resist copy attack and temporal synchronization. Besides, because the watermarks of different GOPs and their embedding positions in a GOP are different, the intra-video collusion attack can be resisted effectively and there is no possibility for inter-video collusion attack to succeed. The simulation shows the feasibility of this scheme, which can resist well temporal synchronization, copy attack, and collusion attack.

Keywords

Blind detection Collusion resistance Copy attack resistance Copyright protection Digital watermark Independent component analysis (ICA) Temporal synchronization Video watermark 

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References

  1. Barni M., Bartolini F., Caldelli R., De Rosa A., Piva A. (2000). A robust watermarking approach for raw video. Proceedings of PV2000 10th international packet video workshop, 1–2 May.Google Scholar
  2. Barr, J., Bradley, B., & Hannigan, B.T. (2003, April). Using digital watermarks with image signatures to mitigate the threat of the copy attack. Proceedings of 2003 IEEE international conference on acoustics, speech and signal processing. (Vol. 3, pp. III—69–72, 6–10).Google Scholar
  3. Chae, J. J., & Manjunath, B. S. (1999). Data hiding in video. Proceedings of the 1999 international conference on image processing. (Vol. I, pp. 311–315).Google Scholar
  4. Comon, P. 1994Independent component analysis, “A New Concept?”Signal Processing36287314CrossRefMATHGoogle Scholar
  5. Hong, I., Kim, I., & Han, S. S. (2001). A blind watermarking technique using wavelet transform. Proceedings of IEEE international symposium on industrial electronics. (Vol. 3, pp. 1946–1950).Google Scholar
  6. Hyvrinen, A., Oja, E. 1997A fast fixed-point algorithm for independent component analysisNeural Computation914831492Google Scholar
  7. Liu, J., Nie, K., He, Z. 2001Blind separation by redundancy reduction in a recurrent neural networkChinese Journal of Electronics10415419Google Scholar
  8. Tekalp, A. M. (1995). Digital video processing, Prentice Hall PTR.Google Scholar
  9. Niu, X., & Sun, S. (2000). A new wavelet-based digital watermarking for video. 9th IEEE digital signal processing workshop.Google Scholar
  10. Su, K., Kunder, D., & Hatzinakos, D. (2002). A novel approach to collusion-resistant video watermarking. Processdings of SPIE 4675, security and watermarking of multimedia content IV, pp. 491–502.Google Scholar
  11. Sun, J., Liu, J., Lagunas, M.A. 2003A blind video watermarking scheme based on ICA.IEEE international conference on neural networks & signal processingNanjing, China1127113014–17 December, 2003Google Scholar

Copyright information

© Springer Science + Business Media, Inc. 2006

Authors and Affiliations

  1. 1.School of Information Science and EngineeringShandong UniversityJinanChina
  2. 2.National Laboratory on Machine PerceptionBeijing UniversityBeijingChina

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