1997
@inproceedings{WCT1997,
vgclass = {refpap},
vgproject = {cbir},
author = {Matthew E. J. Wood and Neill W. Campbell and Barry T.
Thomas},
title = {Employing Region Features for Searching an Image Database},
booktitle = {Proceedings of the Eighth British Machine Vision Conference},
address = {Colchester, UK},
pages = {620--629},
month = {September},
year = {1997},
url = {http://www.cs.bris.ac.uk/Tools/Reports/Abstracts/1997-wood-0.html},
abstract = {This paper describes recent work on the use of regional
data extracted from segmented images for use as search keys in an image
database query system. The motivation for this work is the increasing
availability and use of digital photography within the home and the
lack of suitable search facilities based on the content of the images
therein. The selection of images from the database is performed by
Radial Basis Function networks, the placement of which is carried out
by Kohonen's Learning Vector Quantisation approach. The work, which has
been carried out in collaboration with Hewlett Packard Labs in Bristol,
has shown that the use of features extracted on a local regional level,
rather than a global scale can provide a high success rate when used as
keys for a database query. A manual region classification was carried
out on a test set of images in order to evaluate the performance of the
system and it was found that, of the regions returned with a
classification, an impressive 76.6\% matched that used for the search
key.},
}