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Bosson, Alison, Cawley, Gavin C. 
ORCID: https://orcid.org/0000-0002-4118-9095, Chan, Yi and Harvey, Richard ORCID: https://orcid.org/0000-0001-9925-8316
(2002)
Non-retrieval: blocking pornographic images.
In:
Image and Video Retrieval.
Lecture Notes in Computer Science, 2383
.
Springer Berlin / Heidelberg, GBR, pp. 50-60.
ISBN 978-3-540-43899-1
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 |
| UEA Research Groups: | Faculty of Science > Research Groups > Data Science and Statistics Faculty of Science > Research Groups > Computational Biology Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Interactive Graphics and Audio |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 27 Jul 2011 12:16 |
| Last Modified: | 22 Apr 2023 02:38 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/22007 |
| DOI: | 10.1007/3-540-45479-9_6 |
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