TY - GEN
T1 - Automatic cinemagraphs for ranking beautiful scenes
AU - Chan, Yin Tzu
AU - Hsu, Hao Chen
AU - Li, Po Yi
AU - Yeh, Mei Chen
PY - 2012
Y1 - 2012
N2 - This work addresses the NHK challenge that aims at automatic recognition of beautiful scenes in broadcast programs. We propose a method that can be used to automatically extract beautiful scenes from videos and rank the scenes in terms of beauty. In particular, we introduce cinemagraphs as an alternative manner for presenting beautiful scenes, and a notion of beauty based on the presence of interesting motions. The method is fully automatic, requires no training phase, and produces beautiful scene cinemagraphs as by-products.
AB - This work addresses the NHK challenge that aims at automatic recognition of beautiful scenes in broadcast programs. We propose a method that can be used to automatically extract beautiful scenes from videos and rank the scenes in terms of beauty. In particular, we introduce cinemagraphs as an alternative manner for presenting beautiful scenes, and a notion of beauty based on the presence of interesting motions. The method is fully automatic, requires no training phase, and produces beautiful scene cinemagraphs as by-products.
KW - aesthetic quality assessment
KW - beauty
KW - cinemagraph
UR - http://www.scopus.com/inward/record.url?scp=84871369439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871369439&partnerID=8YFLogxK
U2 - 10.1145/2393347.2396485
DO - 10.1145/2393347.2396485
M3 - Conference contribution
AN - SCOPUS:84871369439
SN - 9781450310895
T3 - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
SP - 1361
EP - 1362
BT - MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia
T2 - 20th ACM International Conference on Multimedia, MM 2012
Y2 - 29 October 2012 through 2 November 2012
ER -