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Non-retrieval: Blocking Pornographic Images
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Non-retrieval: Blocking Pornographic Images
Alison Bosson6  , Gavin C. Cawley7 , Yi Chan7 and Richard Harvey7
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Clearswift Corporation, 1310 Waterside Arlington Business Park, Theale, Berkshire, RG7 4SA, UK |
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School of Information Systems, University of East Anglia, Norwich, NR4 7TJ, UK |
Abstract
We extend earlier work on detecting pornographic images. Our focus is on the classification stage and we give new results
for a variety of classical and modern classifiers. We find the artificial neural network offers a statistically significant
improvement. In all cases the error rate is too high unless deployed sensitively so we show how such a system may be built
into a commercial environment.
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