1993
@inproceedings{NBE1993,
vgclass = {refpap},
vgproject = {cbir},
author = {Niblack, Wayne and Barber, Ron and Equitz, Will and
Flickner, Myron D. and Glasman, Eduardo H. and Petkovic, Dragutin and
Yanker, Peter and Faloutsos, C. and Taubin, Gabriel},
title = {{QBIC} project: querying images by content, using color,
texture, and shape},
booktitle = {Storage and Retrieval for Image and Video Databases},
volume = {1908},
series = {SPIE Proceedings},
pages = {173--187},
month = {April},
year = {1993},
abstract = {In the query by image content (QBIC) project we are
studying methods to query large on-line image databases using the
images' content as the basis of the queries. Examples of the content we
use include color, texture, and shape of image objects and regions.
Potential applications include medical (`Give me other images that
contain a tumor with a texture like this one'), photo-journalism (`Give
me images that have blue at the top and red at the bottom'), and many
others in art, fashion, cataloging, retailing, and industry. Key issues
include derivation and computation of attributes of images and objects
that provide useful query functionality, retrieval methods based on
similarity as opposed to exact match, query by image example or user
drawn image, the user interfaces, query refinement and navigation, high
dimensional database indexing, and automatic and semi-automatic
database population. We currently have a prototype system written in
X/Motif and C running on an RS/6000 that allows a variety of queries,
and a test database of over 1000 images and 1000 objects populated from
commercially available photo clip art images. In this paper we present
the main algorithms for color texture, shape and sketch query that we
use, show example query results, and discuss future directions.},
}