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Technical Reports
1998
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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.
Tech. Rep. 98.04, Computer Vision Group, Computing Centre, University of Geneva, rue Général Dufour, 24, CH-1211 Genève, Switzerland, November 1998.
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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