Detecting adult images using seven MPEG-7 visual descriptors

Authors:
Wonil Kim;Seong Joon Yoo;Jin-sung Kim;Taek Yong Nam;Kyoungro Yoon
Affiliations:
College of Electronics and Information Engineering, Sejong University, Seoul, Korea;College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Electronics Engineering and Computer Science Department, University of Michigan, Ann Arbor, MI;Electronics and Telecommunications Research Institute, Daejeon, Korea;College of Information and Telecommunications, Konkuk University, Seoul, Korea
Venue:
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
Year:
2005

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Abstract

In this paper we introduce an effective method of the adult image classification via MPEG-7 descriptors. The proposed system uses MPEG-7 descriptors as the main feature of the adult image classification systems. The simulation shows that the proposed image classification system performs the 5 class classification task with success rate of above 70%.