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Neural Network Based Adult Image Classification

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Artificial Neural Networks: Biological Inspirations – ICANN 2005 (ICANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3696))

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Digital multimedia data is dramatically being increased everyday since the Internet became popular. This increment in multimedia data increases adult image contents to the Internet as well. Consequently, a large number of children are exposed to these X-rated contents. In this paper, we propose an efficient classification system that can categorize input images into adult or non-adult images. The simulation shows that this system achieved 95% of the true rate whereas it reduces the false positive rate below 3%.

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

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  1. Arentz, W.A., Olstad, B.: Classifying offensive sites based on image contents. Computer Vision and Image Understanding 94, 293–310 (2004)

    Article  Google Scholar 

  2. Fleck, M., Forsyth, D., Bregler, C.: Finding Naked People. In: 1996 European Conference on Computer Vision, vol. II, pp. 592–602 (1996)

    Google Scholar 

  3. Jones, M.J., Rehg, J.M.: Statistical color models with application to skin detection. Technical Report Series, Cambridge Research Laboratory (December 1998)

    Google Scholar 

  4. 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, vol. 3040, pp. 546–555. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  5. Jiao, F., Giao, W., Duan, L., Cui, G.: Detecting adult image using multiple features. In: IEEE conference, November 2001, vol. 3, pp. 378–383 (2001)

    Google Scholar 

  6. 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, vol. 3213, pp. 164–170. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  7. Hammami, M., Chahir, Y., Chen, L.: WebGuard: Web based adult content detection and filtering system. In: Proc. IEEE/WIC International Conference on Web Intelligence, pp. 574–578 (2003)

    Google Scholar 

  8. Forsyth, D., Fleck, M.: Identifying nude pictures. In: IEEE Workshop on the Applications of Computer Vision 1996, pp. 103–108 (1996)

    Google Scholar 

  9. Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining, pp. 343–347. MIT Press, Cambridge (2001)

    Google Scholar 

  10. Rosenblatt, F.: The Perceptron: A probabilistic model for information storage and organization in brain. Psychology Review 65, 386–408

    Google Scholar 

  11. Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature(London) 323, 533–536

    Google Scholar 


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Kim, W., Lee, HK., Yoo, S.J., Baik, S.W. (2005). Neural Network Based Adult Image Classification. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28752-0

  • Online ISBN: 978-3-540-28754-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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