Refereed full papers (journals, book chapters, international conferences)

1999

@inproceedings{SMM1999a,
	vgclass =	{refpap},
	vgproject =	{cbir,viper},
	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},
	editor =	{Dionysius P. Huijsmans and Arnold W. M. Smeulders},
	booktitle =	{Third International Conference On Visual Information
	Systems (VISUAL'99)},
	address =	{Amsterdam, The Netherlands},
	number =	{1614},
	series =	{Lecture Notes in Computer Science},
	pages =	{549--556},
	publisher =	{Springer-Verlag},
	month =	{June~2--4},
	year =	{1999},
	doi =	{https://doi.org/10.1007/3-540-48762-X_68},
	url =	{/publications/postscript/1999/SquireMuellerMueller_vis99.pdf},
	url1 =	{/publications/postscript/1999/SquireMuellerMueller_vis99.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.},
}