Adult image content classification using global features and skin region detection

Date

2010-11-12

Author

Sevimli, Hakan
Esen, Ersin
Ateş, Tuǧrul K.
Ozan, Ezgi C.
Tekin, Mashar
Loǧoǧlu, K. Berker
Sevinç, Ayça Müge
Saracoǧlu, Ahmet
Yazıcı, Adnan
Alatan, Abdullah Aydın

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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.

Subject Keywords

adult image classification, close-up face detection, MPEG-7 visual descriptors, nudity detection, skin color detection

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651526421&origin=inward
https://hdl.handle.net/11511/106879

DOI

https://doi.org/10.1007/978-90-481-9794-1_49

Conference Name

25th International Symposium on Computer and Information Sciences, ISCIS 2010

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

H. Sevimli et al., “Adult image content classification using global features and skin region detection,” London, İngiltere, 2010, vol. 62 LNEE, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651526421&origin=inward.