Designing Metrics for the Purpose of Aesthetically Evaluating

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Date
2005
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
Description

        
@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
} }
Citation