%Aigaion2 BibTeX export von HES SO Valais Publications
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@TECHREPORT{SMM1998,
       author = {Squire, David McG. and M{\"{u}}ller, Wolfgang and M{\"{u}}ller, Henning and Raki, Jilali},
        month = november,
        title = {content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback},
       number = {98.04},
         year = {1998},
  institution = {Computer Vision Group, Computing Centre, University of Geneva},
      address = {rue G\'{e}n\'{e}ral Dufour, 24, CH-1211 Gen\`{e}ve, Switzerland},
     abstract = {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 $\mathcal{O}(10^4)$ 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.},
vgproject={viper,cbir},
vgclass={report},
}