2001
@article{MMM2001b,
vgclass = {refpap},
vgproject = {viper,cbir},
author = {Wolfgang M\"uller and St\'ephane Marchand-Maillet and
Henning M\"uller and David McG.\ Squire and Thierry Pun},
title = {Evaluating image browsers using structured annotation},
journal = {Journal of the American Society for Information Science and Technology (JASIST)},
volume = {52},
number = {11},
pages = {961--968},
month = {September},
year = {2001},
doi = {https://doi.org/10.1002/asi.1146},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.1146},
abstract = {In this article we address the problem of benchmarking
image browsers. Image browsers are systems that help the user in
finding an image from scratch, as opposed to query by example (QBE),
where an example image is needed. The existence of different search
paradigms for image browsers makes it difficult to compare image
browsers. Currently, the only admissible way of evaluation is by
conducting large-scale user studies. This makes it difficult to use
such an evaluation as a tool for improving browsing systems. As a
solution, we propose an automatic image browser benchmark that uses
structured text annotation of the image collection for the simulation
of the user's needs. We apply such a benchmark on an example system.},
}