1998
@inproceedings{RFS1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Bernice E. Rogowitz and Thomas Frese and John R. Smith
and Charles A. Bouman and Edward B. Kalin},
title = {Perceptual image similarity experiments},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas},
booktitle = {Human Vision and Electronic Imaging III},
address = {San Jose, CA, USA},
volume = {3299},
series = {SPIE Proceedings},
pages = {576--590},
month = {26--29~January},
year = {1998},
url = {http://shay.ecn.purdue.edu/\~{}frese/imagsim/spie_ei98.pdf},
url1 = {http://shay.ecn.purdue.edu/\~{}frese/imagsim/spie_ei98.ps.gz},
abstract = {In this paper, we study how human observers judge image
similarity. To do so, we have conducted two psychophysical scaling
experiments and have compared the results to two algorithmic image
similarity metrics. For these experiments, we selected a set of 97
digitized photographic images which represent a range of semantic
categories, viewing distances, and colors. We then used the two
perceptual and the two algorithmic methods to measure the similarity of
each image to every other image in the data set, producing four
similarity matrices. These matrices were analyzed using
multidimensional scaling techniques to gain insight into the dimensions
human observers use for judging image similarity, and how these
dimensions differ from the results of algorithmic methods. This paper
also describes and validates a new technique for collecting similarity
judgments which can provide meaningful results with a factor of four
fewer judgments, as compared with the paired comparisons method.},
}