1998
@inproceedings{DeV1998a,
vgclass = {refpap},
vgproject = {cbir},
author = {Jeremy S. De~Bonet and Paul Viola},
title = {Structure Driven Image Database Retrieval},
editor = {Michael I. Jordan and Michael J. Kearns and Sara A.
Solla},
booktitle = {Advances in Neural Information Processing Systems},
volume = {10},
publisher = {{MIT} Press},
year = {1998},
url = {http://www.ai.mit.edu/\~{}jsd/research/publications/1997/DeBonet-NIPS97-ImageDatabase.pdf},
abstract = {A new algorithm is presented which approximates the
perceived visual similarity between images. The images are initially
transformed into a feature space which captures visual structure,
texture and color using a tree of filters. Similarity is the inverse of
the distance in this \emph{perceptual feature space}. Using this algorithm
we have constructed an image database system which can perform example
based retrieval on large image databases. Using carefully constructed
target sets, which limit variation to only a single visual
characteristic, retrieval rates are quantitatively compared to those of
standard methods.},
}