Content-based image retrieval by indexing random subwindows with randomized trees

  • Authors:
  • Raphaël Marée;Pierre Geurts;Louis Wehenkel

  • Affiliations:
  • GIGA Bioinformatics Platform, University of Liège, Belgium;Systems and Modeling Unit, Montefiore Institute, University of Liège, Belgium;Systems and Modeling Unit, Montefiore Institute, University of Liège, Belgium

  • Venue:
  • ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
  • Year:
  • 2007

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Abstract

We propose a new method for content-based image retrieval which exploits the similarity measure and indexing structure of totally randomized tree ensembles induced from a set of subwindows randomly extracted from a sample of images. We also present the possibility of updating the model as new images come in, and the capability of comparing new images using a model previously constructed from a different set of images. The approach is quantitatively evaluated on various types of images with state-of-the-art results despite its conceptual simplicity and computational efficiency.