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Detecting Adult Images Using Seven MPEG-7 Visual Descriptors

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Web and Communication Technologies and Internet-Related Social Issues - HSI 2005 (HSI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3597))

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Abstract

In this paper we introduce an effective method of the adult image classification via MPEG-7 descriptors. The proposed system uses MPEG-7 descriptors as the main feature of the adult image classification systems. The simulation shows that the proposed image classification system performs the 5 class classification task with success rate of above 70%.

This research is supported by Electronics and Telecommunications Research Institute (Project No. 0801-2004-0025)

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Author information

Authors and Affiliations

  1. College of Electronics and Information Engineering, Sejong University, Seoul, Korea

    Wonil Kim & Seong Joon Yoo

  2. Electronics Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI, USA

    Jin-sung Kim

  3. Electronics and Telecommunications Research Institute, Daejeon, Korea

    Taek Yong Nam

  4. College of Information and Telecommunications, Konkuk University, Seoul, Korea

    Kyoungro Yoon

Authors
  1. Wonil Kim
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  2. Seong Joon Yoo
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  3. Jin-sung Kim
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  4. Taek Yong Nam
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  5. Kyoungro Yoon
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Editor information

Editors and Affiliations

  1. Osaka University, Cybermedia Center, 5-1 Mihogaoka, Ibaraki, 567-0047, Osaka, Japan

    Shinji Shimojo

  2. Graduate School of Mathematical Sciences, University of Tokyo, 3-8-1 Komaba, Meguro-ku, 153-8914, Tokyo, Japan

    Shingo Ichii

  3. School of Computing, National University of Singapore,  

    Tok-Wang Ling

  4. National Internet Development Agency of Korea, 3F, 1321-11 Secho-2 Dong, Secho-Gu, 135-875, Seoul, Korea

    Kwan-Ho Song

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, W., Yoo, S.J., Kim, Js., Nam, T.Y., Yoon, K. (2005). Detecting Adult Images Using Seven MPEG-7 Visual Descriptors. In: Shimojo, S., Ichii, S., Ling, TW., Song, KH. (eds) Web and Communication Technologies and Internet-Related Social Issues - HSI 2005. HSI 2005. Lecture Notes in Computer Science, vol 3597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527725_35

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  • DOI: https://doi.org/10.1007/11527725_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27830-6

  • Online ISBN: 978-3-540-31808-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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