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Evaluating Photo Aesthetics Using Machine Learning
Published on Nov 16, 20124270 Views
In this paper we propose a method for automatic assessment of aesthetic appeal of photographs. We identify significant parameters that distinguish high quality photography from low quality snapshots.
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Chapter list
Evaluating photo aesthetics using machine learning00:00
Motivation - 100:08
Motivation - 201:08
Simplicity02:10
Composition - 103:23
Color selection - 103:59
Our approach05:04
Color selection - 206:17
Composition - 207:14
Simplicity & visual complexity07:40
Flickr dataset08:24
Flickr experiment10:37
DPChallenge dataset (portraits)11:54
DPChallenge experiment13:32
Feature interpretation - 114:25
Feature interpretation - 215:45
Feature interpretation - 317:58
Feature interpretation - 419:46
Conclusion21:27