Abstract
Digital watermarking is a technique used to embed an extra piece of information into multimedia signals. Digital watermarking can be realized by many different methods, but common existing techniques for watermarking are confronted with the problems of perceptible quality degradation and the inherent conflict between imperceptibility and robustness, which introduced by the watermark embedding. In this paper, a novel audio zero-watermarking scheme based on lifting-based wavelet transformation (LWT) and non-negative matrix factorization (NMF) for content authentication is proposed. First the audio is divided to frame by fixed length and then frequent components are obtained by three-level LWT in every frame. Secondly the audio frame is approximately represented as a product of a base matrix and a coefficient matrix using NMF. Finally the feature vector is obtained by quantification the coefficient matrix, and then the copyright information is obtained by calculating the watermark and feature vector. The performance of proposed algorithm is analysis by common signal processing, and experiment results show that the proposed scheme is robust and secure.
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References
Lie, W.N., Chang, L.C.: Robust and High-Quality Time-Domain Audio Watermarking Based on Low-Frequency Amplitude Modification. IEEE Transactions on Multimedia 8(1) (February 2006)
Kim, H.J.: Audio Watermarking Techniques. Kangwon National University, Chunchon 200-701, Korea (2004)
Bassia, P., Pitas, I.: Robust audio watermarking in the time domain. In: Proc. EUSIPCO 1998, vol. 1, pp. 25–28 (1998)
Gruhl, D., Lu, A., Bender, W.: Echo hiding. In: Anderson, R. (ed.) IH 1996. LNCS, vol. 1174, pp. 295–315. Springer, Heidelberg (1996)
Cox, I.J., Kilian, J., Leighton, T., Shamoon, T.: A secure robust watermark for multimedia. In: Information Hiding Worshop, pp. 185–206. Univ. of Cambridge, New York (1996)
Neubauer, C., Herre, J.: Digital watermarking and its influence on audio quality. In: Proc. 105th Convention, Audio Engineering Society, San Francisco, CA (1998)
Chen, B., Wornell, G.W.: Digital watermarking and Information embedding using dither modulation. In: Proc. IEEE Workshop on Multimedia Signal Processing, Redondo Beach, pp. 273–278 (December 1998)
Phillips, P.J., Wechsler, H., Huang, J., Rauss, P.J.: The FERET database and evaluation procedure for face-recognition algorithms. Image and Vision Computing 16(5), 295–306 (1998)
Daubechies, Sweldens, W.: Factoring wavelet transfrom into lifting steps. J. Fourier Anal. Appl. 4, 247–269 (1998)
Zhang, X., Wang, W., Yoshikawa, T., Takei, Y.: Design of IIR orthogonal wavelet filter banks using lifting scheme. IEEE Trans. Signal Processing 54(7), 2616–2624 (2006)
Phoong, S.-M., Kim, C.W., Vaidyanathan, P.P., Ansari, R.: A new class of two-channel biorthogonal filter banks and wavelet bases. IEEE Trans. Signal Processing 43(3), 649–665 (1995)
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Yu, G., Zuo, J., Cui, D. (2011). Performance Evaluation of Digital Audio Watermarking Algorithm under Low Bits Rates. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_42
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DOI: https://doi.org/10.1007/978-3-642-23971-7_42
Publisher Name: Springer, Berlin, Heidelberg
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