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Towards a comprehensive computational model foraesthetic assessment of videos
2013
Proceedings of the 21st ACM international conference on Multimedia - MM '13
In this paper we propose a novel aesthetic model emphasizing psychovisual statistics extracted from multiple levels in contrast to earlier approaches that rely only on descriptors suited for image recognition or based on photographic principles. At the lowest level, we determine dark-channel, sharpness and eye-sensitivity statistics over rectangular cells within a frame. At the next level, we extract Sentibank features (1, 200 pre-trained visual classifiers) on a given frame, that invoke
doi:10.1145/2502081.2508119
dblp:conf/mm/BhattacharyaNCLCS13
fatcat:ve2db3m4lnhv5iiyn5gdh7djpe