An audio copyright protection schemes based on SMM in cepstrum domain

  • Authors:
  • Shenghong Li;Lili Cui;Jonguk Choi;Xuenan Cui

  • Affiliations:
  • School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China;School of Information Security Engineering, Shanghai Jiaotong University, Shanghai, China;Copyright Protection Research Institute, Sangmyung University, Korea;Copyright Protection Research Institute, Sangmyung University, Korea

  • Venue:
  • SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
  • Year:
  • 2006

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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.