Designing Metrics for the Purpose of Aesthetically Evaluating

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dc.contributor.authorGreenfield, Gary R.en_US
dc.contributor.editorLaszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathoferen_US
dc.date.accessioned2013-10-22T07:40:23Z
dc.date.available2013-10-22T07:40:23Z
dc.date.issued2005en_US
dc.description.abstractThe 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.en_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization and Imagingen_US
dc.identifier.isbn3-905673-27-4en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttps://doi.org/10.2312/COMPAESTH/COMPAESTH05/151-158en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): J.5 [Computer Applications]: Arts and Humanities, I.4.7 [Image Processing and Computer Vision]: Feature Measurementen_US
dc.titleDesigning Metrics for the Purpose of Aesthetically Evaluatingen_US
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CompAesth 05: Workshop on Computational Aesthetics