Abstract
Independent component analysis (ICA) is a recently developed statistical technique which often characterizes the data in a natural way. Digital watermarking is the main technique for copyright protection of multimedia digital products. In this paper, a novel blind video watermarking scheme is proposed, in which ICA is applied to extract video independent components (ICs), and a watermark is embedded into the ICA domain by using a 4-neighboring-mean-based method. The simulation shows that the scheme is robust to MPEG-2 compression and able to temporally resynchronize.
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Sun, J., Liu, J., Hu, H. (2004). Data Hiding in Independent Components of Video. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks – ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28647-9_121
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DOI: https://doi.org/10.1007/978-3-540-28647-9_121
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22841-7
Online ISBN: 978-3-540-28647-9
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