Abstract
This paper presents a blind robust watermarking mechanism for copyright protection of 3D motion data. The mechanism segments motion data based on stable anchor-points captured by the maxima in spatio-temporal curvature and filtered by posterior attack model. For each segment, we make a randomized cluster division of 3D points based on a secret key. A watermark is then embedded within these clusters by Triangle Orthocenter based encoding approach. Experimental results show that the proposed watermarking scheme is robust against many possible attacks such as uniform affine transforms (scaling, rotation and translation), noise addition, reordering and cropping.
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References
Agarwal, P., Adi, K., Prabhakaran, B.: Robust blind watermarking mechanism for motion data streams. In: Proceedings of the 8th Workshop on Multimedia and Security, pp. 230–235 (2006)
Agarwal, P., Prabhakaran, B.: Blind robust watermarking of 3d motion data. ACM Transactions on Multimedia Computing and Communication Applications 6(1), 1–32 (2010)
Arnold, M., Chen, X.-M., Baum, P.G., Doërr, G.: Improving Tonality Measures for Audio Watermarking. In: Filler, T., Pevný, T., Craver, S., Ker, A. (eds.) IH 2011. LNCS, vol. 6958, pp. 223–237. Springer, Heidelberg (2011)
Bors, A.: Watermarking mesh-based representations of 3-d objects using local moments. IEEE Transaction Image Process. 15(3), 687–701 (2006)
Cho, J., Prost, R., Jung, H.: An oblivious watermarking for 3-d polygonal meshes using distribution of vertex norms. IEEE Transaction Signal Process. 55(1), 142–155 (2007)
Cox, I.J., Miller, M.L.: The first 50 years of electronic watemrarking. Joumal of Applied Signal Proeessing 10(2), 126–132 (2002)
Dugelay, J.L., Roche, S., Rey, C.: Still-image watermarking robust to local geometric distortions. IEEE Transaction on Image Processing 15(9), 2831–2842 (2006)
Duncan, T., Gracanin, D.: Pre-reckoning algorithm for distributed virtual environments. In: Proceedings of the 2003 Winter Simulation Conference, pp. 1086–1093 (2003)
Gao, X., Deng, C., Li, X., Tao, D.: Geometric distortion insensitive image watermarking in affine covariant regions. IEEE Systems, Man, and Cybernetics Society 40(3), 278–286 (2010)
Kim, T., Lee, J., Shin, S.: Robust motion watermarking based on multiresolution analysis. Computer Graphics Forum 19(3), 189–198 (2000)
Lee, H., Kim, H., Lee, H.: Robust image watermarking using local invariant features. Optical Engineering 45(3), 1–11 (2006)
Li, S., Okuda, M.: Iterative frame decimation and watermarking for human motion animation. Vision and Image Processing, Special Issue on Watermarking 2010(7), 41–48 (2010)
Li, W., Xue, X., Lu, P.: Localized audio watermarking technique robust against time-scale modification. IEEE Transaction on Multimedia 8(1), 60–69 (2006)
Luo, M., Bors, A.G.: Principal component analysis of spectral coefficients for mesh watermarking. In: International Conference on Image Processing, pp. 441–444 (2008)
Luo, M., Wang, K., Bors, A., Lavoué, G.: Local Patch Blind Spectral Watermarking Method for 3D Graphics. In: Ho, A.T.S., Shi, Y.Q., Kim, H.J., Barni, M. (eds.) IWDW 2009. LNCS, vol. 5703, pp. 211–226. Springer, Heidelberg (2009)
Motwani, R., Bekris, K., Motwani, M., Harris, F.: Fragile watermarking of 3d motion data. In: International Conference on Computer Applications in Industry and Engineering, vol. (1), pp. 111–116 (2010)
Pankajakshan, V., Doerr, G., Bora, P.: Assessing motion coherency in video watermarking. In: ACM Multimedia and Security, pp. 114–119 (2006)
Rao, C., Yilmaz, A., Shah, M.: View-invariant representation and recognition of actions. International Journal of Computer Vision 50(2), 203–226 (2002)
Rondao-alface, P., Macq, B.: Blind watermarking of 3d meshes using robust feature points detection. In: International Conference on Image Processing, vol. 1, pp. 693–696 (2005)
Su, K., Kundur, D., Hatzinakos, D.: Statistical invisibility for collusion-resistant digital video watermarking. IEEE Transaction on Multimedia 7(1), 43–51 (2005)
Wang, X., Zhao, H.: A novel synchronization invariant audio watermarking scheme based on dwt and dct. IEEE Transaction on Signal Processing 54(12), 4835–4840 (2006)
Yamazaki, S.: Watermarking motion data. In: Proceedings of Pacific Rim Workshop on Digital Steganography, pp. 177–185 (2004)
Yang, S., Song, Z., Fang, Z., Yang, J.: A novel affine attack robust blind watermarking algorithm. In: Symposium on Security Detection and Information Processing, vol. 7, pp. 239–246 (2010)
Zhang, J., Ho, A.T.S., Qiu, G., Marziliano, P.: Robust video watermarking of h. 264/avc. 264/avc. IEEE Transaction on Circuits and Systems 54(2), 205–209 (2007)
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Du, L., Cao, X., Zhang, M., Fu, H. (2013). Blind Robust Watermarking Mechanism Based on Maxima Curvature of 3D Motion Data. In: Kirchner, M., Ghosal, D. (eds) Information Hiding. IH 2012. Lecture Notes in Computer Science, vol 7692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36373-3_8
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DOI: https://doi.org/10.1007/978-3-642-36373-3_8
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