A web image retrieval re-ranking scheme with cross-modal association rules

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7 Scopus citations

Abstract

This paper proposes a new re-ranking scheme and presents experimental performance results for web image retrieval with integrated query. In our previous work, cross-modal association rule was designed for associating one keyword with several visual feature clusters in web image retrieval. Based on the cross-modal association rule, we implement an automatic reranking process online to integrate the keyword and visual features for web image retrieval, and gives experimental test. The experiment is carried out in a web image retrieval system named VAST (VisuAl & SemanTic image search), and the results show the effectiveness of the re-ranking method scheme.

Original languageEnglish
Title of host publicationProceedings - 2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008
Pages83-86
Number of pages4
DOIs
StatePublished - 2008
Event2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008 - Hobart, TAS, Australia
Duration: 13 Oct 200815 Oct 2008

Publication series

NameProceedings - 2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008

Conference

Conference2008 International Symposium on Ubiquitous Multimedia Computing, UMC 2008
Country/TerritoryAustralia
CityHobart, TAS
Period13/10/0815/10/08

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