A hybrid approach to detect adult web images

  • Authors:
  • Qing-Fang Zheng;Ming-Ji Zhang;Wei-Qiang Wang

  • Affiliations:
  • Institute of Computing Technology, Chinese Academy of Science, Beijing, China;Institute of Computing Technology, Chinese Academy of Science, Beijing, China;Institute of Computing Technology, Chinese Academy of Science, Beijing, China

  • Venue:
  • PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
  • Year:
  • 2004

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Abstract

This paper presents a hybrid approach to discriminate benign images from adult images. Different from previously published works, our approach combines face detection and adaptive skin detection. First, face detection using haar-like features is performed, then skin color model is learned on-line by incorporating the information of color distribution in the face regions. Based on the result of face detection and adaptive skin detection, a set of semantically high-level features are extracted. These features have human-oriented meanings which can effectively discriminate adult images from benign images. Our two main contributions are i) a set of high-level features for adult or benign image classification and ii) a novel adaptive skin detection algorithm in still images. Experimental results are reported to demonstrate the strength of our approach.