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

1999

@article{SLS1999,
	vgclass =	{refpap},
	vgproject =	{cbir},
	author =	{Stan Sclaroff and La Cascia, Marco and Saratendu Sethi and
	Leonid Taycher},
	title =	{Unifying Textual and Visual Cues for Content-Based Image
	Retrieval on the World Wide Web},
	journal =	{Computer Vision and Image Understanding (special issue on content-based access for image
	and video libraries)},
	volume =	{75},
	number =	{1/2},
	pages =	{86--98},
	month =	{July/August},
	year =	{1999},
	abstract =	{A system is proposed that combines textual and visual
	statistics in a single index vector for content-based search of a WWW
	image database.  Textual statistics are captured in vector form using
	latent semantic indexing based on text in the containing HTML document.
	Visual statistics are captured in vector form using color and
	orientation histograms. By using an integrated approach, it becomes
	possible to take advantage of possible statistical couplings between
	the content of the document (latent semantic content) and the contents
	of images (visual statistics). The combined approach allows improved
	performance in conducting content-based search. Search performance
	experiments are reported for a database containing 350,000 images
	collected from the WWW.},
}