Designing Metrics for the Purpose of Aesthetically Evaluating
Abstract
The algorithmic and evolutionary art movements within computer-generated art have helped spur interest in evaluating images on the basis of their aesthetic merit. When attempting to use non-interactive techniques to address this issue, two problems arise: (1) designing metrics that have explicit computational representations, and (2) establishing that such metrics actually fulfill their intended purpose. We survey our experiences in designing metrics for non-interactively guiding image evolution to obtain aesthetic images and we propose a taxonomy for metric frameworks. We also discuss some issues relevant to validating such metrics.
BibTeX
@inproceedings {10.2312:COMPAESTH:COMPAESTH05:151-158,
booktitle = {Computational Aesthetics in Graphics, Visualization and Imaging},
editor = {Laszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathofer},
title = {{Designing Metrics for the Purpose of Aesthetically Evaluating}},
author = {Greenfield, Gary R.},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1816-0859},
ISBN = {3-905673-27-4},
DOI = {10.2312/COMPAESTH/COMPAESTH05/151-158}
}
booktitle = {Computational Aesthetics in Graphics, Visualization and Imaging},
editor = {Laszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathofer},
title = {{Designing Metrics for the Purpose of Aesthetically Evaluating}},
author = {Greenfield, Gary R.},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1816-0859},
ISBN = {3-905673-27-4},
DOI = {10.2312/COMPAESTH/COMPAESTH05/151-158}
}