InFeRno – An Intelligent Framework for Recognizing Pornographic Web Pages

  • Sotiris Karavarsamis
  • Nikos Ntarmos
  • Konstantinos Blekas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6913)


In this work we present InFeRno, an intelligent web pornography elimination system, classifying web pages based solely on their visual content. The main characteristics of our system include: (i) a powerful vector space with a small but sufficient number of features that manage to improve the discriminative ability of the SVM classifier; (ii) an extra class (bikini) that strengthens the performance of the classifier; (iii) an overall classification scheme that achieves high accuracy at considerably lower runtime costs compared to current state-of-the-art systems; and (iv) a full-fledged implementation of the proposed system capable of being integrated with ICAP-aware web proxy cache servers.


Visual Content Contour Extraction Skin Detection Extra Class Skin Color Detection 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sotiris Karavarsamis
    • 1
  • Nikos Ntarmos
    • 1
  • Konstantinos Blekas
    • 1
  1. 1.Department of Computer ScienceUniversity of IoanninaIoanninaGreece

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