2015 | OriginalPaper | Buchkapitel
JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores
verfasst von : Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, Christoph Redies
Erschienen in: Computer Vision - ECCV 2014 Workshops
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Over the last few years, researchers from the computer vision and image processing community have joined other research groups in searching for the bases of aesthetic judgment of paintings and photographs. One of the most important issues, which has hampered research in the case of paintings compared to photographs, is the lack of subjective datasets available for public use. This issue has not only been mentioned in different publications, but was also widely discussed at different conferences and workshops. In the current work, we perform a subjective test on a recently released dataset of aesthetic paintings. The subjective test not only collects scores based on the subjective aesthetic quality, but also on other properties that have been linked to aesthetic judgment.