Designing Metrics for the Purpose of Aesthetically Evaluating

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Gary R. Greenfield: Designing Metrics for the Purpose of Aesthetically Evaluating. In: László Neumann, Mateu Sbert, Bruce Gooch, Werner Purgathofer (Eds.): Eurographics Workshop on Computational Aesthetics. 2005. 151-158



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.

Extended Abstract


author = {Greenfield, Gary},
title = {Designing Metrics for the Purpose of Aesthetically Evaluating Images},
booktitle = {Proceedings of the First Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging},
series = {Computational Aesthetics'05},
year = {2005},
isbn = {3-905673-27-4},
location = {Girona, Spain},
pages = {151--158},
numpages = {8},
url = { },
doi = {10.2312/COMPAESTH/COMPAESTH05/151-158},
acmid = {2381241},
publisher = {Eurographics Association},
address = {Aire-la-Ville, Switzerland, Switzerland},

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