Content based image retrieval using bag-of-regions

  • Authors:
  • Rémi Vieux;Jenny Benois-Pineau;Jean-Philippe Domenger

  • Affiliations:
  • LaBRI - CNRS UMR 5800, Université de Bordeaux, France;LaBRI - CNRS UMR 5800, Université de Bordeaux, France;LaBRI - CNRS UMR 5800, Université de Bordeaux, France

  • Venue:
  • MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
  • Year:
  • 2012

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Abstract

In this work we introduce the Bag-Of-Regions model, inspired from the Bag-Of-Visual-Words. Instead of clustering local image patches represented by SIFT or related descriptors, low level descriptors are extracted and clustered from image regions, as given by a segmentation algorithm. The Bag-Of-Region model allows to define visual dictionaries that capture extra information with respect to Bag-Of-Visual-Words. Combined description schemes and ad-hoc incremental clustering for visual dictionnaries are proposed. The results on public datasets are promising.