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

1999

@inproceedings{BeS1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Berman, Andrew P. and Shapiro, Linda G.},
	title =	{Efficient Content-Based Retrieval: Experimental Results},
	booktitle =	{IEEE Workshop on Content-based Access of Image and Video
	Libraries (CBAIVL'99)},
	address =	{Fort Collins, Colorado, USA},
	pages =	{55--61},
	month =	{June~22},
	year =	{1999},
	abstract =	{The goal of our research has been to create technology
	useful in a generalized system for content-based image retrieval. Such
	a system should search and retrieve images quickly, and do so over a
	wide range of queries. As user definitions of similarity may change
	from session to session, we believe that flexibility in query
	formulation is an important quality for content-based retrieval
	systems. This flexibility can be achieved by providing the user with a
	large set of distance measures that determine the similarity between a
	user query and a database image and a small set of methods for
	combining several of them for a trial query. Distance measure
	calculation requires accessing either the images being compared, or
	pre-computed associated data. An image database can consist of millions
	of images, each one taking many megabytes of storage space. Distance
	measure calculations can be individually expensive as well. Thus, a
	system that must calculate the distance from the query image to each
	image in a large database may exhibit unsatisfactory performance.},
}