Abstract
In the paper, it is suggested a novel algorithm of original streaming video of wavelet domain watermarking with Independent Component Analysis (ICA) using in signal blind detection. In this algorithm, it is made up regulate model of wavelet low frequency coefficient difference in video background picked-up by ICA and quantization modulate the wavelet low frequency coefficient differences of 8 pixel blocks in one MB. This algorithm has a good stability to some common video attacks.
Supported by the National Natural Science Foundation of China (No.60702042, 60802057, 60672068).
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References
Gui, F., Qiwei, L., Jianxiong, Z.: A Novel Watermarking Algorithm Based on ICA. In: IEEE International Workshop on Anti-counterfeiting, Security, Identification, 16-18 April 2007, pp. 204–207 (2007)
Sun, J., Liu, J.: A temporal desynchronization resilient video watermarking scheme based on independent component analysis. In: ICIP 2005, vol. 1, pp. 265–268 (2005)
Noel, S., Szu, H.: Multimedia authenticity with ICA watermarks. In: Proceeding of Wavelet Applications VII, Orlando, pp. 102–106 (2000)
González-Serrano, F.J., Molina-Bulla, H.Y., Murillo-Fuentes, J.J.: Independent component analysis applied to digital watermarking. In: IEEE International Conference on Acoustic, Speech and Signal Processing, Utah, USA, pp. 1022–1024 (May 2001)
Hernández, J.R., Amado, M., Pérez-González, F.: DCT-domain watermarking techniques for still images: Detector performance analysis and a new structure. IEEE Trans. on Image Processing 9(1), 55–68 (2000)
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Jiang, X., Sun, T., Li, J. (2008). A Novel Original Streaming Video Wavelet Domain Watermarking Algorithm in Copyright Protection. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_107
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DOI: https://doi.org/10.1007/978-3-540-89796-5_107
Publisher Name: Springer, Berlin, Heidelberg
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