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- meanbased method. The simulation shows that the scheme is feasible. And without degrading the video quality, it is robust to MPEG-2 compression and able to temporally synchronize. © Springer-Verlag 2004.
Cite
CITATION STYLE
Sun, J., Liu, J., & Hu, I. (2004). Data Hiding in Independent Components of Video. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 970–976. https://doi.org/10.1007/978-3-540-30110-3_122
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