1999
@inproceedings{VlV1999,
vgclass = {refpap},
vgproject = {cbir},
author = {Jules Vleugels and Remco Veltkamp},
title = {Efficient Image Retrieval through Vantage Objects},
editor = {Dionysius P. Huijsmans and Arnold W. M. Smeulders},
booktitle = {Third International Conference On Visual Information
Systems (VISUAL'99)},
address = {Amsterdam, The Netherlands},
number = {1614},
series = {Lecture Notes in Computer Science},
pages = {575--584},
publisher = {Springer-Verlag},
month = {June~2--4},
year = {1999},
url = {http://citeseer.nj.nec.com/vleugels99efficient.html},
url1 = {http://www.cs.uu.nl/people/remcov/art/pdf/visual1999.pdf},
abstract = {We describe a new indexing structure for general image
retrieval that relies solely on a distance function giving the
similarity between two images. For each image object in the database,
its distance to a set of $m$ predetermined vantage objects is
calculated; the $m$�vector of these distances specifies a point in the
$m$�dimensional vantage space. The database objects that are similar
(in terms of the distance function) to a given query object can be
determined by means of an efficient nearest�neighbor search on these
points. We demonstrate the viability of our approach through
experimental results obtained with a database of about 48,000
hieroglyphic polylines.},
}