Non-retrieval: blocking pornographic images

A. Bosson, G. C. Cawley, Y. Chan, R. W. Harvey

Research output: Chapter in Book/Report/Conference proceedingChapter

57 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationImage and Video Retrieval
EditorsMichael S. Lew, Nicu Sebe, John P. Eakins
PublisherSpringer Berlin / Heidelberg
Pages50-60
Number of pages11
Volume2383
ISBN (Print)978-3-540-43899-1
DOIs
Publication statusPublished - 2002
EventProceedings of the International Conference on Image and Video Retrieval - London, United Kingdom
Duration: 18 Jul 200219 Jul 2002

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

Conference

ConferenceProceedings of the International Conference on Image and Video Retrieval
CountryUnited Kingdom
CityLondon
Period18/07/0219/07/02

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