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Detecting Adult Images Using Seven MPEG-7 Visual Descriptors

  • Wonil Kim
  • Seong Joon Yoo
  • Jin-sung Kim
  • Taek Yong Nam
  • Kyoungro Yoon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3597)

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%.

Keywords

Training Image Image Classification Shape Descriptor Dominant Color Color Descriptor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Arentz, W.A., Olstad, B.: Classifying offensive sites based on image contents. In: Computer Vision and Image Understanding, vol. 94, pp. 293–310 (2004)Google Scholar
  2. 2.
    Jung, Y., Hwang, E., Kim, W.: Sports Image Classifier based on Bayesian Classification. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, J.-L. (eds.) CAEPIA/TTIA 2003. LNCS (LNAI), vol. 3040, pp. 546–555. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  3. 3.
    Yoo, S.-J.: Intelligent multimedia information retrieval for identifying and rating adult images. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 165–170. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  4. 4.
    Manjunath, B.S., Salembier, P., Sikora, T. (eds.): Introduction to MPEG-7 Multimedia Content Description Interface. John Wiley & Sons, West Sussex (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Wonil Kim
    • 1
  • Seong Joon Yoo
    • 1
  • Jin-sung Kim
    • 2
  • Taek Yong Nam
    • 3
  • Kyoungro Yoon
    • 4
  1. 1.College of Electronics and Information EngineeringSejong UniversitySeoulKorea
  2. 2.Electronics Engineering and Computer Science DepartmentUniversity of MichiganAnn ArborUSA
  3. 3.Electronics and Telecommunications Research InstituteDaejeonKorea
  4. 4.College of Information and TelecommunicationsKonkuk UniversitySeoulKorea

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