Mining People’s Appearances to Improve Recognition in Photo Collections

  • Markus Brenner
  • Ebroul Izquierdo
Conference paper

DOI: 10.1007/978-3-642-35725-1_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7732)
Cite this paper as:
Brenner M., Izquierdo E. (2013) Mining People’s Appearances to Improve Recognition in Photo Collections. In: Li S. et al. (eds) Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg

Abstract

We show how to recognize people in Consumer Photo Collections by employing a graphical model together with a distance-based face description method. To further improve recognition performance, we incorporate context in the form of social semantics. We devise an approach that has a data mining technique at its core to discover and incorporate patterns of groups of people frequently appearing together in photos. We demonstrate the effect of our probabilistic approach through experiments on a dataset that spans nearly ten years.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Markus Brenner
    • 1
  • Ebroul Izquierdo
    • 1
  1. 1.Queen Mary University of LondonUK

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