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Affective computing
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===Visual aesthetics=== Aesthetics, in the world of art and photography, refers to the principles of the nature and appreciation of beauty. Judging beauty and other aesthetic qualities is a highly subjective task. Computer scientists at Penn State treat the challenge of automatically inferring the aesthetic quality of pictures using their visual content as a machine learning problem, with a peer-rated on-line photo sharing website as a data source.<ref name="datta">Ritendra Datta, Dhiraj Joshi, [[Jia Li]] and James Z. Wang, [https://web.archive.org/web/20181030170421/https://pdfs.semanticscholar.org/8772/877ceb40d6d8685655145034740f3df7baad.pdf Studying Aesthetics in Photographic Images Using a Computational Approach], Lecture Notes in Computer Science, vol. 3953, Proceedings of the European Conference on Computer Vision, Part III, pp. 288β301, Graz, Austria, May 2006.</ref> They extract certain visual features based on the intuition that they can discriminate between aesthetically pleasing and displeasing images.
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