Adult image content classification using global features and skin region detection

Sevimli H., Esen E., Ateş T. K., Ozan E. C., Tekin M., Loǧoǧlu K. B., ...Daha Fazla

25th International Symposium on Computer and Information Sciences, ISCIS 2010, London, İngiltere, 22 - 24 Eylül 2010, cilt.62 LNEE, ss.253-258 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 62 LNEE
  • Doi Numarası: 10.1007/978-90-481-9794-1_49
  • Basıldığı Şehir: London
  • Basıldığı Ülke: İngiltere
  • Sayfa Sayıları: ss.253-258
  • Anahtar Kelimeler: adult image classification, close-up face detection, MPEG-7 visual descriptors, nudity detection, skin color detection
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

A method for adult content classification and nudity detection is presented. Objective of this method is to classify images into different classes, varying on the degree of adult content. We utilize MPEG-7 descriptors to represent visual information. Skin regions are detected to model adult content more precisely, as well as to eliminate false-positives. Proposed method is tested with conventional image sets. Experimental results indicate that the algorithm has an acceptable detection performance. © 2011 Springer Science+Business Media B.V.