Yin-Tzu Chan
Mei-Chen Yeh
ABSTRACT
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.
Supplemental Material
- S. Bhattacharya, R. Sukthankar, and M. Shah, "A framework for photo-quality assessment and enhancement based on Visual aesthetics," in Proc. of ACM MM, 2010. Google Scholar
Digital Library
- R. Datta and J. Z. Wang, "ACQUINE: aesthetic quality inference engine-real-time automatic rating of photo aesthetics," in Proc. of ACM MIR, 2010. Google ScholarDigital Library
- Y. Luo and X. Tang, "Photo and video quality evaluation: focusing on the subject," in Proc. of ECCV, 2008. Google ScholarDigital Library
- M. Yeh and P. -Y. Li, "An approach to automatic creation of cinemagraphs," in Proc. of ACM MM, 2012. Google ScholarDigital Library
- Cinemagraph. http://cinemagraphs.com/. {07/27/2012}Google Scholar
- NHK challenge. http://www.acmmm12.org/nhk-challenge-where-is-beauty-video-segment-extraction-based-on-aesthetic-quality-assessment/. {07/27/2012}Google Scholar
Index Terms
- Automatic cinemagraphs for ranking beautiful scenes
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