InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages
Abstract
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.
Cite
Text
Karavarsamis et al. "InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011. doi:10.1007/978-3-642-23808-6_46Markdown
[Karavarsamis et al. "InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2011.](https://mlanthology.org/ecmlpkdd/2011/karavarsamis2011ecmlpkdd-inferno/) doi:10.1007/978-3-642-23808-6_46BibTeX
@inproceedings{karavarsamis2011ecmlpkdd-inferno,
title = {{InFeRno - An Intelligent Framework for Recognizing Pornographic Web Pages}},
author = {Karavarsamis, Sotiris and Ntarmos, Nikos and Blekas, Konstantinos},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2011},
pages = {638-641},
doi = {10.1007/978-3-642-23808-6_46},
url = {https://mlanthology.org/ecmlpkdd/2011/karavarsamis2011ecmlpkdd-inferno/}
}