A Multiple Classifier Approach for Detecting Naked Human Bodies in Images

  • Luca Giangiuseppe Esposito
  • Carlo Sansone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8157)

Abstract

With the arise of Web 2.0 and social networks, millions of people upload multimedia contents on the web every day. Images are typically published without control and only if users report a problem, unappropriate or offensive content are removed. So, there is the need of a system for automatically processing such kind of data.

In this paper we propose a system, based on a multiple classifier approach, for detecting naked human bodies in images. It analyzes both body geometric properties and global visual features. A comparison with other state-of-the-art proposals demonstrated the effectiveness of the proposed approach.

Keywords

Local Binary Pattern Skin Region Macro Block Skin Detection Adult Image 
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.

References

  1. 1.
    Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image Retrieval: Ideas, Influences, and Trends of the New Age. ACM Computing Surveys 40(2), 1–60 (2008)CrossRefGoogle Scholar
  2. 2.
    Agbinya, J., Lok, B., Wong, Y.S., Da Silva, S.: Automatic Online Porn Detection and Tracking. In: Faculty of Engineering, University of Technology, pp. 1–5 (2007)Google Scholar
  3. 3.
    Wang, S.-l., Hui, H., Li, S.-H., Zhang, H., Shi, Y.-Y., Qu, W.-T.: Exploring content-based and image-based feature for nude image detection. In: Wang, L., Jin, Y. (eds.) FSKD 2005. LNCS (LNAI), vol. 3614, pp. 324–328. Springer, Heidelberg (2005)Google Scholar
  4. 4.
    Duan, L., Cui, G., Gao, W., Zhang, H.: Adult Image Detection Method Base-on Skin Color Model and Support Vector Machine. In: 5th Asian Conference on Computer Vision, Australia, pp. 1–4 (2002)Google Scholar
  5. 5.
    Cao, L.L., Li, X.-L., Yu, N.H., Liu, Z.K.: Naked people retrieval based on adaboost learning. In: 1st Int. Conf. on Machine Learning and Cybernetics, pp. 1133–1138 (2002)Google Scholar
  6. 6.
    Marcial-Basilio, J.A., Aguilar-Torres, G., Sanchez-Perez, G., Karina Toscano-Medina, L., Perez-Meana, H.M.: Detection of Pornographic Digital Images. International Journal of Computers 5(2), 298–305 (2011)Google Scholar
  7. 7.
    Ruiz del Solar, J., Castaneda, V., Verschae, R., Baeza-Yates, R., Ortiz, F.: Characterizing objectionable image content (pornography and nude images) of specific web segments: Chile as a case study. In: 3rd Latin American Web Congress, pp. 269–278 (2005)Google Scholar
  8. 8.
    Zhao, Z., Cai, A.: Combining multiple SVM classifiers for adult image recognition. In: 2nd IEEE International Conference on Network Infrastructure and Digital Content, pp. 149–153 (2010)Google Scholar
  9. 9.
    Kuncheva, L.I.: Combining Pattern Classifiers: Methods and Algorithms. Wiley-Interscience (2004)Google Scholar
  10. 10.
    Boirouga, H., El Fkihi, S., Jilbab, A., Aboutajdine, D.: Skin detection in pornographic videos using threshold technique. Journal of Theoretical and Applied Information Technology 35(1), 7–19 (2012)Google Scholar
  11. 11.
    Ap-apid, R.: An algorithm for nudity detection. In: 5th Philippine Computing Science Congress, pp. 201–205 (2005)Google Scholar
  12. 12.
    Wang, X., Li, X., Liu, X.: Nude image detection based on SVM. In: Int. Conference on Computational Intelligence and Natural Computing, pp. 178–181 (2009)Google Scholar
  13. 13.
    Zheng, Q.-F., Zeng, W., Gao, W., Wang, W.-Q.: Shape-based adult images detection. International Journal of Image Graphics 6(1), 115–124 (2006)CrossRefGoogle Scholar
  14. 14.
    Lee, J.-S., Kuo, Y.-M., Chung, P.-C., Chen, E.-L.: Naked image detection based on adaptive and extensible skin color model. Pattern Recognition 40(8), 2261–2270 (2007)CrossRefMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Luca Giangiuseppe Esposito
    • 1
  • Carlo Sansone
    • 1
  1. 1.Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione (DIETI)University of Naples Federico IIItaly

Personalised recommendations