Combining Text and Image Analysis in The Web Filtering System "WEBGUARD"

Mohamed Hammami 1 Youssef Chahir 2 Liming Chen 1
2 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : Web applications increasingly utilize search techniques that heavily rely on content-based text and image analyses. For example, for parental site filtering, it is necessary to identify adult sites. These applications must rely on a semantic analysis of images in the process of identification where text analysis alone is insufficient. In this article, we describe our site filtering system "WebGuard" and show the importance of image analysis in such system. Our results show that it can detect and filter adult content effectively.
Complete list of metadatas

Cited literature [10 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00324862
Contributor : Dodola Greyc <>
Submitted on : Tuesday, September 22, 2015 - 12:52:13 PM
Last modification on : Tuesday, November 19, 2019 - 2:43:32 AM
Long-term archiving on: Tuesday, December 29, 2015 - 7:18:10 AM

File

IIWAS.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00324862, version 1

Citation

Mohamed Hammami, Youssef Chahir, Liming Chen. Combining Text and Image Analysis in The Web Filtering System "WEBGUARD". Sixth International Conference on Information Integration and Web-based Applications & Services (iiWAS'04), 2004, Jakarta, Indonesia. pp.685-695. ⟨hal-00324862⟩

Share

Metrics

Record views

264

Files downloads

84