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Content Based Retrieval of VRML Objects — An Iterative and Interactive Approach

  • Michael Elad
  • Ayellet Tal
  • Sigal Ar
Part of the Eurographics book series (EUROGRAPH)

Abstract

We examine the problem of searching a database of three dimensional objects (given in VRML) for objects similar to a given object. We introduce an algorithm which is both iterative and interactive. Rather than base the search solely on geometric feature similarity, we propose letting the user influence future search results by marking some of the results of the current search as ‘relevant’ or ‘irrelevant’, thus indicating personal preferences. A novel approach, based on SVM, is used for the adaptation of the distance measure consistently with these markings, which brings the ‘relevant’ objects closer and pushes the ‘irrelevant’ objects farther. We show that in practice very few iterations are needed for the system to converge well on what the user “had in mind”.

Keywords

Support Vector Machine Discrete Computational Geom Computational Geometry Relevance Feedback Content Base Image Retrieval 
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 Wien 2002

Authors and Affiliations

  • Michael Elad
    • 1
  • Ayellet Tal
    • 2
  • Sigal Ar
    • 2
  1. 1.HP LaboratoriesHaifaIsrael
  2. 2.Department of Electrical EngineeringTechnion — Israel Institute of TechnologyHaifaIsrael

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