2004
@article{ChW2004,
vgclass = {refpap},
author = {Hock C. Chan and Yue Wang},
title = {Human factors in color-based image retrieval: an empirical
study on size estimate accuracies},
journal = {Journal of Visual Communication and Image Representation},
volume = {15},
number = {2},
pages = {113--131},
month = {June},
year = {2004},
url = {http://dx.doi.org/10.1016/j.jvcir.2003.09.001},
abstract = {In color histogram based image retrieval, a user query
specification forms a histogram to be matched with those of the images
in the database. The accuracy of this specification determines the
matching latitude and affects directly the effectiveness of the
retrieval process. The retrieval process suggests some relevant human
factors, such as people's ability to estimate percentages and
individual characteristics such as training, experience, and
background. A two-part laboratory study was made to understand people's
ability to estimate percentages of single-block and multiple-block
color. The results can be applied to enhance image retrieval systems.
For example, the results provide different ranges of estimates, based
on statistical percentiles. Retrieval systems can use these to
determine appropriate values for retrieval control parameters. The
statistics can be used to help determine likely recall and precision
performance. Overall, the study provides deeper understanding of
people's estimate of color percentages in images.},
}