Abstract
In this paper, we present an audio scheme protective of copyright protection using information hiding. We propose visually recognizable binary image and text information as watermark (copyright) information embedded in audio signal. Cepstrum representation of audio can be shown to be very robust to a wide range of attacks. We apply SMM(statistical mean manipulation) theory in embedding image watermarking, and address attacks against lossy audio compression like MP3, white Gaussian noise and so on. A blind detection watermarking can be realized with the proposed scheme. © Springer-Verlag Berlin Heidelberg 2006.
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CITATION STYLE
Li, S., Cui, L., Choi, J., & Cui, X. (2006). An audio copyright protection schemes based on SMM in cepstrum domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4109 LNCS, pp. 923–927). Springer Verlag. https://doi.org/10.1007/11815921_102
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