Abstract
While text retrieval systems are now commonplace, picture retrieval systems- particularly those capable of direct retrieval by shape feature or object position - are still a comparative rarity, perhaps surprisingly so in view of the growth of interest in multimedia databases. Has the development of sophisticated retrieval capabilities for pictorial information systems lagged behind because of inherent problems in providing them, or are they simply not needed?
This paper aims to answer the above question by reviewing some recentwork on pictorial information retrieval, including Chang’s lIDS (intelligent image database system), Rabitti & Stanchev’s GRIM_DBMS retrieval system, and the author’s own SAFARI system for engineering drawings. It discusses some ofthe lessons which can be drawn from these experimental systems in key areas such as image description and indexing, interface design, and the measurement of retrieval effectiveness. It proposes a taxonomy ofsuch systems, and examines some ofthe features that the next generation ofsuch systems should aim to provide.
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© 1993 British Computer Society
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Eakins, J. (1993). Pictorial information systems — prospects and problems. In: McEnery, T., Paice, C. (eds) 14th Information Retrieval Colloquium. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3211-0_8
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DOI: https://doi.org/10.1007/978-1-4471-3211-0_8
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