Abstract
A novel embedding watermark signal generation scheme based on feature extraction is proposed in this paper. The original binary watermark image is divided into two blocks with the same size and each block is changed into one dimension sequences. After that, Independent Component Analysis (ICA) is used to extract the independent features of them, which are regarded as two embedding watermark signals. In the embedding procedure, the embedding watermark signals are embedded in some selected wavelet coefficients of the subaudios obtained by subsampling. And Self-synchronization is implemented by applying special peak point extraction scheme. The blind extraction procedure is basically the converse procedure of the embedding one. And the original watermark image can be recovered with the help of the mixing matrix of the ICA. Experimental results show the validity of this scheme.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Liu, J., Zhang, X.G., Najar, M., Lagunas, M.A.: A Robust Digital Watermarking Scheme Based on ICA. In: International Conference on Neural Networks and Signal, Oregon, USA, vol. 2, pp. 1481–1484 (2003)
Vieru, R., Tahboub, R., Constantinescu, C., Lazarescu, V.: New Results Using the Audio Watermarking Based on Wavelet Transform. In: International Symposium on Signals, Circuits, and Systems, Kobe, Japan, vol. 2, pp. 441–444 (2005)
Cvejic, N., Seppanen, T.: Robust Audio Watermarking in Wavelet Domain Using Frequency Hopping and Patchwork Method. In: The 3rd International Symposium on Image and Signal Processing and Analysis, Rome, Italy, vol. 1, pp. 251–255 (2003)
Li, W., Xue, X., Lu, P.: Localized Audio Watermarking Technique Robust Against Time-Scale Modification. IEEE Transactions on Multimedia 8, 60–69 (2006)
Wei, F.S., Feng, X., Mengyuan, L.: A Blind Audio Watermarking Scheme Using Peak Point Extraction. In: IEEE International Symposium on Circuits and Systems, Kobe, Japan, vol. 5, pp. 4409–4412 (2005)
Toch, B., Lowe, D., Saad, D.: Watermarking of Audio Signals Using Independent Component Analysis. In: The Third International Conference WEB Delivering of Music, Leeds, United Kingdom, pp. 71–74 (2003)
Sener, S., Gunsel, B.: Blind Audio Watermark Decoding Using Independent Component Analysis. In: The 17th International Conference on Pattern Recognition, Cambridge, United Kingdom, vol. 2, pp. 875–878 (2004)
Sun, J., Liu, J.: A Novel Digital Watermark Scheme Based on Image Independent Feature. In: The 2003 IEEE International Conference on Robotics, Intelligent Systems and Signal Processing, Changsha, China, vol. 2, pp. 1333–1338 (2003)
Chu, W.C.: DCT-Based Image Watermarking Using Subsampling. IEEE Transactions on Multimedia 5 (1), 34–38 (2003)
Hyvarinen, A., Oja, E.: A Fast Fixed-point Algorithm for Independent Component Analysis. Neural Computation 9(7), 1483–1492 (1997)
Huang, J., Wang, Y., Shi, Y.: A Blind Audio Watermarking Algorithm with Self-synchronization. In: IEEE International Symposium on Circuits and Systems, Arizona, USA, vol. 3, pp. 627–630 (2002)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Ma, X., Zhang, B., Ding, X. (2007). Self-synchronization Blind Audio Watermarking Based on Feature Extraction and Subsampling. In: Liu, D., Fei, S., Hou, Z., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4492. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72393-6_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-72393-6_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72392-9
Online ISBN: 978-3-540-72393-6
eBook Packages: Computer ScienceComputer Science (R0)