Non-retrieval: blocking pornographic images

Bosson, A., Cawley, G. C., Chan, Y. and Harvey, R. W. (2002) Non-retrieval: blocking pornographic images. In: Image and Video Retrieval. Lecture Notes in Computer Science, 2383 . Springer Berlin / Heidelberg, pp. 50-60. ISBN 978-3-540-43899-1

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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.

Item Type: Book Section
Faculty \ School: Faculty of Science > School of Computing Sciences
University of East Anglia > Faculty of Science > Research Groups > Computational Biology (subgroups are shown below) > Machine learning in computational biology
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Depositing User: Vishal Gautam
Date Deposited: 27 Jul 2011 13:16
Last Modified: 25 Jul 2018 00:24
URI: https://ueaeprints.uea.ac.uk/id/eprint/22007
DOI: 10.1007/3-540-45479-9_6

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