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A four-factor user interaction model for content-based image retrieval

  • Haiming Liu
    ,
  • Victoria Uren
    ,
  • Dawei Song
    ,
  • Stefan Ruger
  • Open University Milton Keynes
    ,
  • Robert Gordon University
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Abstract

In order to bridge the "Semantic gap", a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2009

Publication status

Published - 01/01/2009

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

ISBN (Print)

9783642044168

ISBN (Electronic)

9783642044168

External Publication IDs

  • handle.net: 10547/297904
  • Scopus: 70350580822

Host publication title

nan

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