A Method of Data Embedding and Extracting for Information Retrieval Considering Mobile Devices

• MUNEYASU Mitsuji

  Faculty of Engineering Science, Kansai University

• KUDO Hiroshi

  Faculty of Engineering Science, Kansai University

• SHONO Takafumi

  Faculty of Engineering Science, Kansai University

• HANADA Yoshiko

  Faculty of Engineering Science, Kansai University

抄録

In this paper, we propose an improved data embedding and extraction method for information retrieval considering the use of mobile devices. Although the conventional method has demonstrated good results for images captured by cellular phones, some problems remain with this method. One problem is the lack of consideration of the construction of the code grouping in the code grouping method. In this paper, a new construction method for code grouping is proposed, and it is shown that a suitable grouping of the codes can be found. Another problem is the correction method of lens distortion, which is time-consuming. Therefore, to improve the processing speed, the golden section search method is adopted to estimate the distortion coefficients. In addition, a new tuning algorithm for the gain coefficient in the embedding process is also proposed. Experimental results show an increase in the detection rate for embedding data and a reduction of the processing time.

収録刊行物

• IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

  IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E96.A (6), 1214-1221, 2013

  一般社団法人 電子情報通信学会

キーワード

• data embedding
• printed image
• data extraction
• mobile device
• watermarking

詳細情報

• CRID: 1390001206310927872
• NII論文ID: 10031193807
• NII書誌ID: AA10826239
• DOI: 10.1587/transfun.e96.a.1214
• ISSN: 17451337
• ISSN: 09168508
• Web Site: https://www.jstage.jst.go.jp/article/transfun/E96.A/6/E96.A_1214/_pdf
• 本文言語コード: en
• データソース種別:
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  • Crossref
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可