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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 164–170Cite as

Intelligent Multimedia Information Retrieval for Identifying and Rating Adult Images

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

We applied an intelligent multimedia information retrieval technique to devise an algorithm identifying and rating adult images. Given a query, ten most similar images are retrieved from an adult image database and a non-adult image database in which we store existing images of each class. If majority of the retrieved are adult images, then the query is determined to be an adult image. Otherwise, it is determined to be a non-adult class. Our experiment shows 99% true positives with 23% false positives with a database containing 1,300 non-adult images, and 93.5% correct detections with 8.4% false positives when experimented with a database containing 12,000 non-adult images. 9,900 adult images are used for both experiments. We also present an adult image rating algorithm which produces results that can be used as a reference for rating images.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Sejong University, Seoul, 143-747, Korea

    Seong-Joon Yoo

Authors
  1. Seong-Joon Yoo
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Yoo, SJ. (2004). Intelligent Multimedia Information Retrieval for Identifying and Rating Adult Images. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_27

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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