Abstract
Robustness against geometric attacks is still considered to be one of the major challenging issues in the development of watermarking algorithm, especially for video watermarking. This paper presents a multi-bit video watermarking scheme resilient to geometric attacks and frame dropping by utilizing the geometric invariant sequence generated from the average dc energy of the input video and the temporal statistic described by its histogram. Firstly, the average dc energy of frame is introduced and three of its geometric invariance natures, i.e. rotation, scaling and translation, are proved. Then the watermarks are embedded into the histogram of average dc energy sequence of video frame. The embedding strategy is implemented by reassigning the populations in groups of two consecutive bins in the histogram. The simulation results demonstrate that the proposed watermarking scheme achieves satisfactory performances against geometric and common signal processing attacks, and intense frame dropping and averaging.
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References
Dong, P., Brankov, J.G., Galatsanos, N.P., Yang, Y.Y., Davoine, F.: Affine transformation resistant watermarking based on image normalizaton. IEEE Trans. Image Process 14(12), 2140–2150 (2005)
Lin, C.Y., Wu, M., Bloom, J.A., Cox, J., Miller, M.L., Lui, Y.M.: Rotation, Scale and Translation Resilient Watermarking for Images. IEEE Trans. on Image Processing 10, 767–782 (2001)
Ruanaidh, J., Pun, T.: Rotation, Scale and Translation Invariant Spread Spectrum Digital Image Watermarking. Signal Processing 6(3), 303–317 (1998)
Ruanaidh, J.J.K.Ó., Pun, T.: Rotation, scale and translation invariant digital image watermarking. In: Proc. ICIP 1997, IEEE Int. Conf. Image Processing, Santa Barbara, CA, October 1997, pp. 536–539 (1997)
ISetyawan, G.K., Lagendijk, R.L.: Synchronization-insensitive video watermarking using structured noise pattern. In: Proc. SPIE, Security and Watermarking of Multimedia Contents IV, San Jose, CA, pp. 520–530 (2002)
Kutter, M.: Watermarking Resistance to Translation, Rotation and Scaling. In: Proc. of SPIE: Media Systems Applications, vol. 3528, pp. 423–431 (1998)
ISetyawan, et al.: Perceptual quality evaluation of geometrically distorted images using relevant geometric transformation modeling. In: Proc SPIE, Security and Watermarking of Multimedia Contents V, vol. 5020 (2003)
Kang, X., Huang, J., Shi, Y., Lin, Y.: A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression. IEEE Trans. Circuits Syst. Video Technol. 13(8), 776–786 (2003)
Pereira, S., Pun, T.: Robust template matching for affine resistant image watermarks. IEEE Trans. Image Process. 9(6), 1123–1129 (2000)
Pereira, S., Pun, T.: An iterative template matching algorithm using the Chirp-Z transform for digital image watermarking. Pattern Recognit. 33, 173–175 (2000)
Kutter, M., Bhattacharjee, S.K., Ebrahimi, T.: Towards second generation watermarking schemes. In: Proc. IEEE Int. Conf. Image Process., pp. 320–323 (1999)
Alghoniemy, M., Tewfik, A.: Geometric distortion correction through image normalization. In: Proc. IEEE Int. Conf. Multimedia Expo, vol. 3, pp. 1291–1294 (2000)
Kim, H.S., Lee, H.K.: Invariant image watermark using Zernike moments. IEEE Trans.Circuits Syst. Video Technol. 13(8), 766–775 (2003)
Loo, P., Kingsbury, N.: Motion-estimation-based registration of geometrically distorted image for watermark recovery. In: Proc. SPIE, Security and Watermarking of Multimedia Contents III, San Jose, CA, pp. 606–617 (2001)
Delannay, D., Delaigle, J.-F., Macq, B., Barlaud, M.: Compensation of geometrical deformations for watermark extraction in the digital cinema application. In: Proc. SPIE, Security and Watermarking of Multimedia Contents III, San Jose, CA, pp. 149–157 (2001)
Xiang, S., Huang, J., Yang, R.: Time-scale invariant audio watermarking based on the statistical features in time domain. In: Camenisch, J.L., Collberg, C.S., Johnson, N.F., Sallee, P. (eds.) IH 2006. LNCS, vol. 4437, pp. 93–108. Springer, Heidelberg (2007)
Xiang, S., Huang, J.: Histogram-based audio watermarking against time-scale modification and cropping attacks. IEEE Trans. Multimedia 9(7), 1357–11372 (2007)
Liu, H., Chen, N., Huang, J., Huang, X., Shi, Y.Q.: A robust DWT based video watermarking algorithm. In: Proc. IEEE Int. Symp. Circuits Systems, May 26-29, 2002, vol. 3, pp. 631–634 (2002)
Su, K., Kundur, D., Hatzinakos, D.: A content dependent spatially localized video watermark for resistance to collusion and interpolation attacks. In: Proc. Int. Conf. Image Processing, October 7-10, 2000, vol. 1, pp. 818–821 (2000)
Zhao, Y., Lagendijk, R.L.: Video watermarking scheme resistant to geometric attacks. In: Proc. Int. Conf. Image Processing, September 22–25, 2002, vol. 2, pp. 145–148 (2002)
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Chen, C., Ni, J., Huang, J. (2009). Temporal Statistic Based Video Watermarking Scheme Robust against Geometric Attacks and Frame Dropping. In: Ho, A.T.S., Shi, Y.Q., Kim, H.J., Barni, M. (eds) Digital Watermarking. IWDW 2009. Lecture Notes in Computer Science, vol 5703. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03688-0_10
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DOI: https://doi.org/10.1007/978-3-642-03688-0_10
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