Fusion of speech, faces and text for person identification in TV broadcast

  • Authors:
  • Hervé Bredin;Johann Poignant;Makarand Tapaswi;Guillaume Fortier;Viet Bac Le;Thibault Napoleon;Hua Gao;Claude Barras;Sophie Rosset;Laurent Besacier;Jakob Verbeek;Georges Quénot;Frédéric Jurie;Hazim Kemal Ekenel

  • Affiliations:
  • CNRS-LIMSI UPR 3251, Univ Paris-Sud, Orsay, France;UJF-Grenoble 1 / UPMF-Grenoble 2 / Grenoble INP / CNRS-LIG UMR 5217, Grenoble, France;Karlsruher Institut für Technologie, Karlsruhe, Germany;INRIA Rhone-Alpes, Montbonnot, France;Vocapia Research, Parc Orsay Université, Orsay, France;Université de Caen / GREYC UMR 6072, Caen Cedex, France;Karlsruher Institut für Technologie, Karlsruhe, Germany;CNRS-LIMSI UPR 3251, Univ Paris-Sud, Orsay, France;CNRS-LIMSI UPR 3251, Univ Paris-Sud, Orsay, France;UJF-Grenoble 1 / UPMF-Grenoble 2 / Grenoble INP / CNRS-LIG UMR 5217, Grenoble, France;INRIA Rhone-Alpes, Montbonnot, France;UJF-Grenoble 1 / UPMF-Grenoble 2 / Grenoble INP / CNRS-LIG UMR 5217, Grenoble, France;Université de Caen / GREYC UMR 6072, Caen Cedex, France;Karlsruher Institut für Technologie, Karlsruhe, Germany

  • Venue:
  • ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
  • Year:
  • 2012

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Abstract

The Repere challenge is a project aiming at the evaluation of systems for supervised and unsupervised multimodal recognition of people in TV broadcast. In this paper, we describe, evaluate and discuss QCompere consortium submissions to the 2012 Repere evaluation campaign dry-run. Speaker identification (and face recognition) can be greatly improved when combined with name detection through video optical character recognition. Moreover, we show that unsupervised multimodal person recognition systems can achieve performance nearly as good as supervised monomodal ones (with several hundreds of identity models).