Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram

  • A. Schuldt
  • B. Gottfried
  • O. Herzog
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4071)


Efficient image retrieval from large image databases is a challenging problem. In this paper we present a method offering constant time complexity for the comparison of two shapes. In order to achieve this, we extend the qualitative concept of positional-contrast by 86 new relations describing the position of a polygon w. r. t. its line segments. On this basis a histogram of the relations’ frequencies is computed for each shape. A useful property of our approach is that, due to the underlying concept of positional-contrast, it can be intuitively decided whether its combination with other features is promising. Especially, retrieval results of about 64% are achieved in the MPEG test with constant time complexity.


Line Segment Space Complexity Radius Ratio Retrieval Result Correct Match 
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 2006

Authors and Affiliations

  • A. Schuldt
    • 1
  • B. Gottfried
    • 1
  • O. Herzog
    • 1
  1. 1.University of BremenCentre for Computing Technologies (TZI)Bremen

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