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2003

On the detection of pornographic digital images

8 years 6 months ago
On the detection of pornographic digital images
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.
Raimondo Schettini, Carla Brambilla, Claudio Cusan
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2003
Where VCIP
Authors Raimondo Schettini, Carla Brambilla, Claudio Cusano, Gianluigi Ciocca
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