InFeRno - an Intelligent Framework for Recognizing Pornographic Web Pages
author: Sotiris Karavarsamis,
Department of Computer Science, University of Ioannina
published: Oct. 3, 2011, recorded: September 2011, views: 3228
published: Oct. 3, 2011, recorded: September 2011, views: 3228
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Description
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 pow- erful 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 classi- fier; (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.
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