An Image Data Model

  • William I. Grosky
  • Peter L. Stanchev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1929)


In this paper, we analyze the existing approaches to image data modeling and we propose an image data model and a particular image representation in the proposed model. This model establishes a taxonomy based on a systematization over existing approaches. The image layouts in the model are described in semantic hierarchies. The representation is applicable to a wide variety of image collections. An example for applying the model to a plant picture is given.


Image Retrieval Image Database Image Object Delaunay Triangulation Image Representation 
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

  • William I. Grosky
    • 1
  • Peter L. Stanchev
    • 1
  1. 1.Department of Computer ScienceWayne State UniversityDetroit

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