Y. Chan, R. Harvey, and D. Smith. Building systems to block pornography. In Challenge of Image Retrieval, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....or inappropriate. The problem therefore is the non retrieval of certain types of image. Although the identification of human skin is commonplace in vision systems, the detection of pictures containing nudity and pornography is a fairly specialised area (some relevant systems include [1 3] and [4, 5]) These systems contain a skin filter which is usually based on colour sometimes with texture as a secondary feature. Skin filters are now fairly standard so we give only a brief explanation Section 2. Here we wish to focus on the classification and deployment of such systems which we describe in ....

....2. Here we wish to focus on the classification and deployment of such systems which we describe in Section 3 and subsequent sections. 2 Image Processing For skin filters based on colour we note that the choice of colour feature usually leads to some discussion of the correct colour space (see [4] for discussions of alternative colour spaces) In practice we [4, 5] and others [2] find that provided there is enough training data and a histogram based representation of the colour distribution is used then the choice of colour space is not critical. We compute the likelihood ratio L(c skin) ....

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Chan, Y., Harvey, R., Smith, D.: Building systems to block pornography. In Eakins, J., Harper, D., eds.: Challenge of Image Retrieval, BCS Electronic Workshops in Computing series (1999) 34--40

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Y. Chan, R. Harvey, and D. Smith. Building systems to block pornography. In Challenge of Image Retrieval, 1999.

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