Non-retrieval: blocking pornographic images

Alison Bosson, Gavin C. Cawley, Yi Chan, Richard Harvey

Research output: Chapter in Book/Report/Conference proceedingChapter

63 Citations (Scopus)


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
Number of pages11
ISBN (Print)978-3-540-43899-1
Publication statusPublished - 2002
EventInternational 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


ConferenceInternational Conference on Image and Video Retrieval
Country/TerritoryUnited Kingdom

Cite this