Evaluating a content based image retrieval system

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

  • Affiliations:
  • Univ. of Sunderland, Sunderland, UK;National Palace Nuseum, Taiwan, R.O.C.;Univ. of Sunderland, Sunderland, UK

  • Venue:
  • Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2001

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Abstract

Content Based Image Retrieval (CBIR) presents special challenges in terms of how image data is indexed, accessed, and how end systems are evaluated. This paper discusses the design of a CBIR system that uses global colour as the primary indexing key, and a user centered evaluation of the systems visual search tools. The results indicate that users are able to make use of a range of visual search tools, and that different tools are used at different points in the search process. The results also show that the provision of a structured navigation and browsing tool can support image retrieval, particularly in situations in which the user does not have a target image in mind. The results are discussed in terms of their implications for the design of visual search tools, and their implications for the use of user-centered evaluation for CBIR systems.