Geometric warping watermarking extended concerning geometric attacks and embedding artifacts

ABSTRACT

In this paper, we present a non-blind uncompressed domain geometric warping-based video watermarking approach with high robustness to strong lossy compression. We use the approved idea of changing the geometric video structure to embed the watermark bits. In this paper, the parameterization of the geometric structure and the basic embedding process is described. The resulting video quality and the possibility of re-synchronization after geometric attacks are two main issues of this work. We propose a solution which divides the 3-dimensional video space (two spatial and one temporal dimension) into different regions. In this way, we can parameterize and control the resulting video quality and suitability for re-synchronization. The resulting watermark is very robust to strong lossy compression. For example, a H.264/AVC compression which degrades the video quality down to a PSNR of 25 dB induces a watermark bit error rate of only 0.16%. The proposed approach prevents visible artifacts and flicker effects. The average resulting capacity (round about 2 bits per frame) is sufficient for applications such as fingerprinting.

REFERENCES

• 1: Pröfrock D., Schlauweg M. and Müller E. Video Watermarking by Using Geometric Warping Without Visible Artifacts. Proc. of Information Hiding (8th IH 2006), Alexandria, USA, 2006.
• 2: Perez-Gonzales F. and Hernandez J. R. A tutorial on digital watermarking. Proc. of International Carnahan Conference on Security Technology, pp. 286--292, Madrid Spain, 1999.
• 3: Voloshynovski S., Pereira S., Pun T., Eggers J. J. and Su J. K. Attacks on Digital Watermarks: Classification, Estimation-based Attacks and Benchmarks. In IEEE Communications Magazine, vol. 39, issue 8, pp. 118--126, 2001.
• 4: Maes M. J. J. J. B. and van Overveld C. W. A. M. Digital watermarking by geometric warping. Proc. of International Conference on Image Processing (ICIP), vol. 2, pp. 424--426, Cicago, Il, USA, 1989.
• 5: Achill Schürmann, Dense ellipsoid packings, Discrete Mathematics, v.247 n.1-3, p.243-249, 28 March 2002 [doi>10.1016/S0012-365X(01)00313-2]
• 6: Pfender F. and Ziegler M. G. Kissing Numbers, Sphere Packings, and Some Unexpected Proofs. Notices Amer. Math. Soc. 51, no. 8, pp. 873--883, 2004.
• 7: Lichtenauer J. F., Setyawan I., Kalker T. and Lagendijk, R. L Exhaustive geometrical search and the false positive watermark detection probability. In Security and Watermarking of Multimedia Contents V, Proc. SPIE Vol. 5020, pp. 203--214, 2003.
• 8: Loo P. and Kingsbury N. Motion-estimation-based registration of geometrically distorted images for watermark recovery. In Security and Watermarking of Multimedia Contents III, Proc. SPIE Vol. 4314, pp. 606--617, 2001.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Abstracting methods

Additional Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.9 Applications

  K. Computing Milieux
  K.6 MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS
      K.6.5 Security and Protection (D.4.6, K.4.2)

General Terms:
Algorithms, Security, Verification

Keywords:
NCG, data hiding, fingerprinting, geometric warping, watermarking