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23 June 2003 On the detection of pornographic digital images
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Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003)
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
The paper addresses the problem of distinguishing between pornographic and non-pornographic photographs, for the design of semantic filters for the web. Both, decision forests of trees built according to CART (Classification And Regression Trees) methodology and Support Vectors Machines (SVM), have been used to perform the classification. The photographs are described by a set of low-level features, features that can be automatically computed simply on gray-level and color representation of the image. The database used in our experiments contained 1500 photographs, 750 of which labeled as pornographic on the basis of the independent judgement of several viewers.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raimondo Schettini, Carla Brambilla, Claudio Cusano, and Gianluigi Ciocca "On the detection of pornographic digital images", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003);


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