Abstract
Experimental testing shows that the relative relation in the number of samples among the neighboring bins and the audio frequency centroid are two robust features to the Time Scale Modification (TSM) attacks. Accordingly, an audio watermark algorithm based on frequency centroid and histogram is proposed by modifying the frequency coefficients. The audio histogram with equal-sized bins is extracted from a selected frequency coefficient range referred to the audio centroid. The watermarked audio signal is perceptibly similar to the original one. The experimental results show that the algorithm is very robust to resample TSM and a variety of common attacks. Subjective quality evaluation of the algorithm shows that embedded watermark introduces low, inaudible distortion of host audio signal.
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This work is supported by the Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality.
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References
International Federation of the Phonographic Industry, http://www.ifpi.org
Yin, X., Zhang, X.: Covert Communication Audio Watermarking Algorithm Based on LSB. 2006 10th International Conference on Communication Technology, pp. 308–311.
Huang, J., Wang, Y., Shi, Y.Q.: A Blind Audio Watermarking Algorithm with Self-Synchronization. In: Proceedings of IEEE International Symposium on Circuits and Systems, Arizona, USA, vol. 3, pp. 627–630 (2002)
Xiang, S., Huang, J., Yang, R.: Time-scale Invariant Audio Watermarking Based on the Statistical Features in time Domain. In: Proc. Of the 8th Information Hiding workshop (2006)
Yeo, I.K., Kim, H.J.: Modified Patchwork Algorithm: The Novel Audio Watermarking Scheme. IEEE Transactions on Speech and Audio Processing 11, 381–386 (2003)
Li, W., Xue, X.Y., Zh, P., Zh, P.L.: Robust audio watermarking based on rhythm region Detection. IEEE Electronics Letters 41(4), 218–219 (2005)
Sylvain, B., Michiel, V.D.V., Aweke, L.: Informed detection of audio watermark for resolving playback speed modifications. In: Proc.of the Multimedia and Security Workshop, pp. 117–123 (2004)
Coltuc, D., Bolon, P.: Watermarking by Histogram Specification. In: Proc. of SPIE International Conference on Security and Watermarking of Multimedia Contents II, vol. 3657, pp. 252–263 (1999)
Roy, S., Chang, E.C.: Watermarking Color Histograms. In: Proc. of International Conference of Image Processing, vol. 4, pp. 2191–2194 (2005)
Hu, Y.P., Han, D.Z., Yang, S.Q.: Image-adaptive Watermarking Algorithm Robust to Geometric Distortion in DWT Domain. Journal of System Simulation 17(10), 2470–2475 (2005)
Dai, Z.X, Hong, F., Li, X.G., Dong, J.: Improvement on centroid detection method for text document watermarking. Computer Applications 27(5), 1064–1066 (2007)
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Zhang, X., Yin, X. (2007). Audio Watermarking Algorithm Based on Centroid and Statistical Features. In: Qing, S., Imai, H., Wang, G. (eds) Information and Communications Security. ICICS 2007. Lecture Notes in Computer Science, vol 4861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77048-0_12
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DOI: https://doi.org/10.1007/978-3-540-77048-0_12
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