Composition of MPEG-7 visual descriptors for detecting adult images on the internet

  • Authors:
  • Seong-Joon Yoo;Min-Ho Jung;Hee Beom Kang;Chee Sun Won;Soo-Mi Choi

  • Affiliations:
  • School of Computer Engineering, Sejong University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea;Department of Electrical Engineering, Dongguk University, Seoul, Korea;Department of Electrical Engineering, Dongguk University, Seoul, Korea;School of Computer Engineering, Sejong University, Seoul, Korea

  • Venue:
  • HSI'03 Proceedings of the 2nd international conference on Human.society@internet
  • Year:
  • 2003

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Abstract

We describe a similarity based adult image detection technique (SID) exploiting composed MPEG-7 visual descriptors. The technique with a large set of training adult image database and a smaller set of training non-adult image database is practically useful in detecting adult images with little false negatives. SID achieved 99% correct detections with 23% false positives when experimented with a database containing 1,300 training non-adult images, and 93.5% correct detections with 8.4% false positives when experimented with a database containing 12,000 training non-adult images. 9,900 training adult images are used for both experiments. Given a query, ten most similar images are retrieved. If majority of the retrieved are adult images, then the query is determined to be an adult image. Otherwise, it is determined to be a non-adult image. SID can detect adult Internet content with the aid of text filtering system as described in the later section.