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Scale Summarized and Focused Browsing of Primitive Visual Content

  • Xenophon Zabulis
  • Jon Sporring
  • Stelios C. Orphanoudakis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)

Abstract

A study of local scale in images demonstrates that image features reside in different scales. Based on this observation a framework for the classification of features with respect to scale is proposed, linearly combining the visual impression of features at different scales. The proposed framework and a derived methodology are applied to typical feature extraction tasks, and in the generic case of estimating multiple scale feature distributions, as a tool for the identification of images of similar visual content. A possible formulation of queries for retrieving images by primitive visual content, taking scale into account, is also discussed.

Keywords

Image Retrieval Feature Detection Scale Space Coarse Scale Identi Cation 
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 2000

Authors and Affiliations

  • Xenophon Zabulis
    • 1
    • 2
  • Jon Sporring
    • 3
  • Stelios C. Orphanoudakis
    • 1
    • 2
  1. 1.Foundation for Research and Technology - HellasCreteGreece
  2. 2.Department of Computer ScienceUniversity of CreteCreteGreece
  3. 3.3D-Lab School of DentistryUniversity of CopenhagenCopenhagenDenmark

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