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Topological Query in Image Databases

  • Mihaela Scuturici
  • Jérémy Clech
  • Djamel A. Zighed
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2905)

Abstract

In this paper we propose a topological model for image database query using neighborhood graphs. A related neighborhood graph is built from automatically extracted low-level features, which represent images as points of ℝ p space. Graph exploration correspond to database browsing, the neighbors of a node represent similar images. In order to perform query by example, we define a topological query model. The query image is inserted in the graph by locally updating the neighborhood graph. The topology of an image database is more informative than a similarity measure usually applied in content based image retrieval, as proved by our experiments.

Keywords

Image Retrieval Image Database Similar Image Topological Model Neighborhood Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Mihaela Scuturici
    • 1
  • Jérémy Clech
    • 1
  • Djamel A. Zighed
    • 1
  1. 1.Laboratoire ERIC – Université Lumière Lyon2Bron cedexFrance

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