Open AccessLARGE SCALE IMAGE-BASED ADULT-CONTENT FILTERING
Author(s) -
Henry A. Rowley,
Yushi Jing,
Shumeet Baluja
Publication year - 2006
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0001377002900296
Subject(s) - computer science , scalability , fraction (chemistry) , content (measure theory) , support vector machine , the internet , artificial intelligence , image (mathematics) , face (sociological concept) , computer vision , scale (ratio) , contextual image classification , pattern recognition (psychology) , information retrieval , world wide web , mathematics , database , social science , organic chemistry , chemistry , sociology , physics , mathematical analysis , quantum mechanics
As more people start using the Internet and more content is placed online, the chances that individuals will encounter inappropriate or unwanted adult-oriented content increases. This paper presents a practical and scalable method to efficiently detect many adult-content images, specifically pornographic images. We currently use this system in a search engine that covers a large fraction of the images on the WWW. For each image, face detection is applied and a number of summary features are computed; the results are then fed to a support vector machine for classification. The results show that a significant fraction of adult-content images can be detected.
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