Violent web images classification based on MPEG7 color descriptors

Authors:
Radhouane Guermazi;Mohamed Hammami;Abdelmajid Ben Hamadou
Affiliations:
Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technologie and Multimedia, Sfax-Tunisia;Multimedia InfoRmation system and Advanced Computing Laboratory, Faculty of Sciences, Sfax-Tunisia;Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technologie and Multimedia, Sfax-Tunisia
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

In this article, we present a contribution to the violent Web images classification. This subject is deeply important as it has a potential use for many applications such as violent Web sites filtering. We propose to combine the techniques of image analysis and data-mining to relate low level characteristics extracted from the image's colors to a higher characteristic of violence which could be contained in the image. We present a comparative study of different data mining techniques to classify violent Web images. Also, we discuss how the combination learning based methods can improve accuracy rate. Our results show that our approach can detect violent content effectively.