Video Watermarking Based on Spatio-temporal JND Profile

  • Dawen Xu
  • Rangding Wang
  • Jicheng Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5450)


As digital multimedia become easier to copy, exchange and modify, digital watermarking is becoming more and more important for protecting the authenticity of multimedia. The most important properties of digital watermarking techniques are robustness, imperceptibility and complexity. In this paper, a video watermarking scheme based on spatio-temporal just noticeable difference (JND) profile of human visual system (HVS) is presented. The JND profile is used to adaptively adjust the energy of the watermark during embedding. Hence, a good balance between imperceptibility and robustness is obtained. Moreover, the complete watermarking procedure in spatial domain is easy to perform. Firstly, the original video frames are divided into 3D-blocks. Spatial JND profile for motionless block and spatio-temporal JND profile for fast-motion block are estimated respectively. Then, an identical watermark is embedded in motionless block utilizing the spatial JND of HVS. Independent watermarks are embedded in fast-motion block by exploiting the spatio-temporal JND of HVS. Experimental results show the watermarked frames are indistinguishable from the original frames subjectively and the proposed video watermarking scheme is robust against the attacks of additive Gaussian noise, frame dropping, frame averaging, filtering and lossy compression.


Spatio-temporal JND profile human visual system (HVS) video watermarking 


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  1. 1.
    Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: Secure spread spectrum watermarking for multimedia. IEEE Transactions on Image Processing 6(12), 1673–1687 (1997)CrossRefGoogle Scholar
  2. 2.
    Langelaar, G.C., Setyawan, I., Lagendijk, R.L.: Watermarking digital image and video data: A satate-of-the-art overview. IEEE Signal Processing Magazine 17(5), 20–46 (2000)CrossRefGoogle Scholar
  3. 3.
    Huang, J.W., Shi, Y.Q., Shi, Y.: Embedding image watermarks in DC components. IEEE Transactions on Circuits and Systems for Video Technology 10(6), 974–979 (2000)CrossRefGoogle Scholar
  4. 4.
    Hartung, F., Girod, B.: Watermarking of uncompressed and compressed video. Signal Processing 66(3), 283–301 (1998)CrossRefzbMATHGoogle Scholar
  5. 5.
    Li, Q., Cox, I.J.: Using perceptual models to improve fidelity and provide resistance to valumetric scaling for quantization index modulation watermarking. IEEE Transactions on Information Forensics and Security 2(2), 127–139 (2007)CrossRefGoogle Scholar
  6. 6.
    Liu, W., Dong, L.N., Zeng, W.J.: Optimum detection for spread-spectrum watermarking that employs self-masking. IEEE Transactions on Information Forensics and Security 2(4), 645–654 (2007)CrossRefGoogle Scholar
  7. 7.
    Huang, H.Y., Lin, Y.R., Hsu, W.H.: Robust technique for watermark embedding in a video stream based on a block-matching algorithm. Optical Engineering 47(3), 037402 (14 pages) (2008)CrossRefGoogle Scholar
  8. 8.
    Deguillarme, F., Csurka, G., Ruanaidh, J.O., Pun, T.: Robust 3D DFT video watermarking. In: Proceedings of SPIE Security and Watermarking of Multimedia Contents, San Jose, California, vol. 3657, pp. 113–124 (1999)Google Scholar
  9. 9.
    Hsu, C.T., Wu, J.L.: DCT-based watermarking for video. IEEE Transactions on Consumer Electronic 44(1), 206–216 (1998)CrossRefGoogle Scholar
  10. 10.
    Xu, D.W.: A blind video watermarking algorithm based on 3D wavelet transform. In: 2007 International Conference on Computational Intelligence and Security, Harbin, China, December 2007, pp. 945–949 (2007)Google Scholar
  11. 11.
    Biswas, S., Das, S.R., Petriu, E.M.: An adaptive compressed MPEG-2 video watermarking scheme. IEEE Transactions on Instrumentation and Measurement 54(5), 1853–1861 (2005)CrossRefGoogle Scholar
  12. 12.
    Alattar, A.M., Lin, E.T., Celik, M.U.: Digital watermarking of low bit-rate advanced simple profile MPEG-4 compressed video. IEEE Transactions on Circuits and Systems for Video Technology 13(8), 787–800 (2003)CrossRefGoogle Scholar
  13. 13.
    Zhang, J., Anthony, T.S.H., Qiu, G., Marziliano, P.: Robust video watermarking of H.264/AVC. IEEE Transactions on Circuits and Systems II: Express Briefs 54(2), 205–209 (2007)CrossRefGoogle Scholar
  14. 14.
    Piva, A., Caldelli, R., Rosa, A.D.: A DWT-based object watermarking system for MPEG-4 video streams. In: International Conference on image processing, Vancouver, Canada, September 2000, vol. 3, pp. 5–8 (2000)Google Scholar
  15. 15.
    Bas, P., Macq, B.: A New Video-Object Watermarking Scheme Robust To Object Manipulation. In: International Conference on image processing, Thessaloniki, Greece, pp. 526–529 (2001)Google Scholar
  16. 16.
    Noorkami, M., Mersereau, R.M.: A framework for robust watermarking of h.264-encoded video with controllable detection performance. IEEE Transactions on Information Forensics and Security 2(1), 14–23 (2007)CrossRefGoogle Scholar
  17. 17.
    Swanson, M.D., Zhu, B., Tewfik, A.H.: Multiresolution scene-based video watermarking using perceptual models. IEEE Journal on Selected Areas in Communications 16(4), 540–550 (1998)CrossRefzbMATHGoogle Scholar
  18. 18.
    Barni, M., Bartolini, F., Checcacci, N.: Watermarking of MPEG-4 video objects. IEEE Transactions on Multimedia 7(1), 23–32 (2005)CrossRefGoogle Scholar
  19. 19.
    Koz, A., Alatan, A.A.: Oblivious spatio-temporal watermarking of digital video by exploiting the human visual system. IEEE Transactions on Circuits and Systems for Video Technology 18(3), 326–337 (2008)CrossRefGoogle Scholar
  20. 20.
    Yang, X.K., Lin, W.S., Lu, Z.K., Ong, E.P., Yao, S.S.: Motion-compensated residue preprocessing in video coding based on just-noticeable-distortion profile. IEEE Transactions on Circuits and Systems for Video Technology 15(6), 742–752 (2005)CrossRefGoogle Scholar
  21. 21.
    Yang, X.K., Ling, W.S., Lu, Z.K., Ong, E.P., Yao, S.S.: Just noticeable distortion model and its applications in video coding. Signal Processing: Image Communication 20(7), 662–680 (2005)Google Scholar
  22. 22.
    Chou, C.H., Li, Y.C.: A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile. IEEE Transactions on Circuits and Systems for Video Technology 5(6), 467–476 (1995)CrossRefGoogle Scholar
  23. 23.
    Chou, C.H., Chen, C.W.: A perceptually optimized 3-D subband codec for video communication over wireless channels. IEEE Transactions on Circuits and Systems for Video Technology 6(2), 143–156 (1996)CrossRefGoogle Scholar
  24. 24.
    Niu, X.M., Sun, S.H., Xiang, W.J.: Multiresolution watermarking for video based on gray-level digital watermark. IEEE Transactions on Consumer Electronics 46(2), 375–384 (2000)CrossRefGoogle Scholar
  25. 25.
    Wang, C.K., Wang, J.M., Zhou, M., Chen, G.S.: ATBaM: An Arnold transform based method on watermarking relational data. In: 2008 International Conference on Multimedia and Ubiquitous Engineering, Seoul, Korea, April 2008, pp. 263–270 (2008)Google Scholar
  26. 26.
    Su, K., Kundur, D., Hatzinakos, D.: Statistical invisibility for collusion-resistant digital video watermarking. IEEE Transactions on Multimedia 7(1), 43–51 (2005)CrossRefGoogle Scholar
  27. 27.
    Su, K., Kundur, D., Hatzinakos, D.: Spatially localized image-dependent watermarking for statistical invisibility and collusion resistance. IEEE Transactions on Multimedia 7(1), 52–66 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Dawen Xu
    • 1
    • 3
  • Rangding Wang
    • 2
  • Jicheng Wang
    • 1
  1. 1.Department of Computer Science and TechnologyTongji UniversityShanghaiChina
  2. 2.CKC software labNingbo UniversityNingboChina
  3. 3.School of Electronics and Information EngineeringNingbo University of TechnologyNingboChina

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