Mining social networks and their visual semantics from social photos

  • Authors:
  • Michel Crampes;Michel Plantié

  • Affiliations:
  • EMA-LGI2P, Parc Scientifique Georges Besse, Nîmes Cedex, France;EMA-LGI2P, Parc Scientifique Georges Besse, Nîmes Cedex, France

  • Venue:
  • Proceedings of the International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2011

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Abstract

With the new possibilities in communication and information management, social networks and photos have received plenty of attention in the digital age. But there has been little research about the possibility that social photos carry some implicit social information and about the capacity to use this information for mining social data. In this paper, we show how social photos, captured during family or friends' events, representing individuals or groups, can be used to build social networks and express part of their semantics. Our contribution takes a wedding as an example. We present a method with different facets which give different results. The resulting social networks can be used by people as a mirror of the event and also as a means for sharing photos with personalized albums.