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

1996

@inproceedings{PMS1996,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Rosalind W. Picard and Thomas P. Minka and Martin Szummer},
	title =	{Modeling user subjectivity in image libraries},
	editor =	{P. Delogne},
	booktitle =	{IEEE International Conference on Image Processing (ICIP'96)},
	address =	{Lausanne, Switzerland},
	month =	{September},
	year =	{1996},
	url =	{ftp://whitechapel.media.mit.edu/pub/tech-reports/TR-382.ps.Z},
	abstract =	{In addition to the problem of \emph{which} analysis models
	to use in digital libraries e.g. wavelet, Wold, color histograms, is
	the problem of \emph{how} to combine these models with their different
	strengths. Most present systems place the burden of combination on the
	user, e.g. the user specifies 50\% texture features, 20\% color
	features etc. This is a problem since most users do not know how to
	best pick the settings for the given data and search problem. This
	paper addresses this problem, describing research in progress for a
	system that (1) automatically infers which combination of models best
	represents the data of interest to the user and (2) learns continuously
	during interaction with each user. In particular, these two components
	-- inference and learning -- provide a solution that adapts to the
	subjective and hard-to-predict behaviors frequently seen when people
	query or browse image libraries.},
}