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Extracting Symbolic Descriptors for Interactive Object Retrieval

  • Jochen Wickel
  • Pablo Alvarado
  • Karl-Friedrich Kraiss
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

Abstract

In visual object retrieval, there are always queries which cannot be processed successfully. In these cases, it is desirable to extract imprecise symbolic information. We present an architecture that extracts symbolic descriptors of the objects shown in the query image. The method is based on a combination of numeric feature extraction and classification. We describe some examples of descriptors and present first experimental results.

Keywords

Image Processing Pattern Recognition Computer Vision Feature Extraction Computer Graphic 
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

  • Jochen Wickel
    • 1
  • Pablo Alvarado
    • 1
  • Karl-Friedrich Kraiss
    • 1
  1. 1.Lehrstuhl für Technische InformatikRWTH AachenAachen

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