2007
@article{Cha2007,
vgclass = {refpap},
author = {Hock Chuan Chan},
title = {Empirical comparison of image retrieval color similarity
methods with human judgment},
journal = {Displays},
year = {2007},
note = {(in press)},
url = {http://dx.doi.org/10.1016/j.displa.2007.08.013},
abstract = {It is important to verify assumptions and methods of image
retrieval against actual human behavior. A study was conducted to
compare similarity methods of color histograms against human assessment
of similarity. The similarity methods tested include basic histogram
intersection, center histogram matching, locality histogram matching,
and size-weighted histogram matching. 161 subjects participated in the
empirical study. The findings, based on Spearman correlation analysis,
showed that both the basic histogram intersection method and
size-weighted histogram are very close to human assessment of
similarity (Spearman correlation coefficient of 0.915). The other two
are not close to human judgment on similarity. This study illustrates
an alternative approach to evaluating matching algorithms. Unlike the
usual measures of recall and precision, this approach emphasizes human
validation. Fewer images are required with the use of statistical
testing.},
}