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Technical Reports
1998
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@techreport{SMM1998a,
vgclass = {report},
vgproject = {viper,cbir},
author = {David McG. Squire and Wolfgang M\"{u}ller and Henning M\"{u}ller},
title = {Relevance feedback and term weighting schemes for content-based
image retrieval},
number = {98.05},
institution = {Computer Vision Group, Computing Centre, University of Geneva},
address = {rue G\'{e}n\'{e}ral Dufour, 24, CH-1211 Gen\`{e}ve, Switzerland},
month = {December},
year = {1998},
url = {/publications/postscript/1998/VGTR98.05_SquireMuellerMueller.pdf},
url1 = {/publications/postscript/1998/VGTR98.05_SquireMuellerMueller.ps.gz},
abstract = {This paper describes the application of techniques derived
from text retrieval research to the content-based querying of image
databases. Specifically, the use of inverted files, frequency-based
weights and relevance feedback are investigated. The use of inverted
files allows very large numbers ($\geq \mathcal{O}(10^4)$) of
\emph{possible} features to be used. since search is limited to the
subspace spanned by the features present in the query image(s). A
variety of weighting schemes used in text retrieval are employed,
yielding different results. We suggest possibles modifications for
their use with image databases. The use of relevance feedback was shown
to improve the query results significantly, as measured by precision
and recall, for all users.},
}
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