Damageless watermark extraction using nonlinear feature extraction scheme trained on frequency domain

Kensuke Naoe, Yoshiyasu Takefuji

研究成果: Chapter

抄録

In this chapter, we propose a new information hiding and extracting method without embedding any information into the target content by using a nonlinear feature extraction scheme trained on frequency domain. The proposed method can detect hidden bit patterns from the content by processing the coefficients of the selected feature subblocks to the trained neural network. The coefficients are taken from the frequency domain of the decomposed target content by frequency transform. The bit patterns are retrieved from the network only with the proper extraction keys provided. The extraction keys, in the proposed method, are the coordinates of the selected feature subblocks and the neural network weights generated by the supervised learning of the neural network. The supervised learning uses the coefficients of the selected feature subblocks as the set of input values, and the hidden bit patterns are used as the teacher signal values of the neural network, which is the watermark signal in the proposed method. With our proposed method, we are able to introduce a watermark scheme with no damage to the target content.

本文言語English
ホスト出版物のタイトルIntellectual Property Protection for Multimedia Information Technology
出版社IGI Global
ページ117-142
ページ数26
ISBN(印刷版)9781599047621
DOI
出版ステータスPublished - 2007

ASJC Scopus subject areas

  • 工学(全般)

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