1998
@inproceedings{LSS1998,
vgclass = {refpap},
vgproject = {cbir},
author = {La Cascia, Marco and Saratendu Sethi and Stan Sclaroff},
title = {Combining Textual and Visual Cues for Content-based Image
Retrieval on the World Wide Web},
booktitle = {IEEE Workshop on Content-based Access of Image and Video
Libraries (CBAIVL'98)},
address = {Santa Barbara, CA, USA},
month = {June~21},
year = {1998},
url = {http://cs-ftp.bu.edu/techreports/98-004-combining-text-and-vis-cues.ps.Z},
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 (LSI) 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 100,000 images
collected from the WWW.},
}