Image browsing and navigation using hierarchical classification

  • Authors:
  • Ting-Sheng Lai;John Tait;Sharon McDonald

  • Affiliations:
  • School of Computing, Engineering and Technology, University of Sunderland, Sunderland, UK;School of Computing, Engineering and Technology, University of Sunderland, Sunderland, UK;School of Computing, Engineering and Technology, University of Sunderland, Sunderland, UK

  • Venue:
  • IM'99 Proceedings of the 1999 international conference on Challenge of Image Retrieval
  • Year:
  • 1999

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Abstract

In this paper, we attempt to address the inadequacies of query-based image retrieval, and argue the importance of structured browsing and navigation methods. We propose to build a hierarchical classification model, which is the basic structure for image browsing and navigation. Currently a prototype system has been implemented, called CHROMA. CHROMA provides both a visual tool to browse or navigate through the image collection, which can be used in combination with existing query-based methods. In addition, by measuring the required iterations of thumbnail browsing we evaluate the improvements in retrieval effectiveness of the browsing and navigation approach.