1998
@inproceedings{RTG1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Yossi Rubner and Carlo Tomasi and Leonidas Guibas},
title = {A Metric for Distributions with Applications to Image
Databases},
booktitle = {Proceedings of the International Conference on Computer Vision (ICCV'98)},
address = {Bombay, India},
month = {January},
year = {1998},
abstract = {We introduce a new distance between two distributions that
we call the \emph{Earth Mover's Distance} (EMD), which reflects the
minimal amount of work which must be performed to transform one
distribution into the other by moving ``distribution mass'' around.
This is a special case of the transportation problem from linear
optimization, for which efficient algorithms are available. The EMD
also allows for partial matching. When used to compare distributions
that have the same overall mass, the EMD is a true metric, and has
easy-to-compute lower bounds. In this paper we focus on applications to
image databases, especially color and texture. We use the EMD to
exhibit the structure of color-distribution and texture spaces by means
of Multi-DimensionalScaling displays. We also propose a novel approach
to the problem of navigating through a collection of color images,
which leads to a new paradigm for image database search.},
}