Search results for key=SMM1999 :
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Refereed full papers (journals, book chapters, international conferences)
1999
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David McG. Squire, Wolfgang Müller, Henning Müller and Jilali Raki,
Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback,
In The 11th Scandinavian Conference on Image Analysis (SCIA'99),
Kangerlussuaq, Greenland, pp. 143-149, June 7-11 1999.
In this paper we report the application of techniques
inspired by text retrieval research to the content-based query of image
databases. In particular, we show how the use of an inverted file data
structure permits the use of a feature space of O(104)
dimensions, by restricting search to the subspace spanned by the features
present in the query. A suitably sparse set of colour and texture features
is proposed. A scheme based on the frequency of occurrence of features in both
individual images and in the whole collection provides a means of weighting
possibly incommensurate features in a compatible manner, and
naturally extends to incorporate relevance feedback queries. The use of
relevance feedback is shown consistently to improve system performance, as
measured by precision and recall.
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