Surveying the reality of semantic image retrieval

Authors:
Peter G. B. Enser;Christine J. Sandom;Paul H. Lewis
Affiliations:
School of Computing, Mathematical and Information Sciences, University of Brighton;School of Computing, Mathematical and Information Sciences, University of Brighton;Department of Electronics and Computer Science, University of Southampton
Venue:
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Year:
2005

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Abstract

An ongoing project is described which seeks to add to our understanding about the real challenge of semantic image retrieval. Consideration is given to the plurality of types of still image, a taxonomy for which is presented as a framework within which to show examples of real ‘semantic’ requests and the textual metadata by which such requests might be addressed. The specificity of subject indexing and underpinning domain knowledge which is necessary in order to assist in the realization of semantic content is noted. The potential for that semantic content to be represented and recovered using CBIR techniques is discussed.