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Enabling effective user interactions in content-based image retrieval

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

Abstract

This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor user interaction model is an interactive relevance feedback mechanism that we proposed, aiming to improve the interaction between users and the CBIR system and in turn users overall search experience. In this paper, we present how the framework is developed to deliver the four-factor user interaction model, and how the visual interface is designed to support user interaction activities. From our preliminary user evaluation result on the ease of use and usefulness of the proposed framework, we have learnt what the users like about the framework and the aspects we could improve in future studies. Whilst the framework is developed for our research purposes, we believe the functionalities could be adapted to any content-based image search framework.

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)

9783642047688

ISBN (Electronic)

9783642047688

External Publication IDs

  • handle.net: 10547/297890
  • Scopus: 70549094315

Host publication title

nan

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