Reference : Image Context Discovery from Socially Curated Contents
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/2268/154304
Image Context Discovery from Socially Curated Contents
English
Kimura, Akisato [NTT Corporation > Communication Science Laboratories > Learning and Intelligent Systems Research Group > >]
Ishiguro, Katsuhiko [NTT Corporation > Communication Science Laboratories > Learning and Intelligent Systems Research Group > >]
Marcos Alvarez, Alejandro mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Kataoka, Kaori [NTT Corporation > Media Intelligence Laboratories > > >]
Murasaki, Kazuhiko [NTT Corporation > Media Intelligence Laboratories > > >]
Yamada, Makoto [NTT Corporation > Communication Science Laboratories > Learning and Intelligent Systems Research Group > >]
Oct-2013
Proceedings of the 21st ACM International Conference on Multimedia
ACM
Yes
International
New York
USA
The 21st ACM International Conference on Multimedia (ACMMM2013)
from 21-10-2013 to 25-10-2013
ACM
Barcelona
Spain
[en] social curation ; contexts ; graph clustering ; classification
[en] This paper proposes a novel method of discovering a set of image contents sharing a specific context (attributes or implicit meaning) with the help of image collections obtained from social curation platforms. Socially curated contents are promising to analyze various kinds of multimedia information, since they are manually filtered and organized based on specific individual preferences, interests or perspectives. Our proposed method fully exploits the process of social curation: (1) How image contents are manually grouped together by users, and (2) how image contents are distributed in the platform. Our method reveals the fact that image contents with a specific context are naturally grouped together and every image content includes really various contexts that cannot necessarily be verbalized by texts.
http://hdl.handle.net/2268/154304

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