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Salient Regions for Query by Image Content

  • Jonathon S. Hare
  • Paul H. Lewis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3115)

Abstract

Much previous work on image retrieval has used global features such as colour and texture to describe the content of the image. However, these global features are insufficient to accurately describe the image content when different parts of the image have different characteristics. This paper discusses how this problem can be circumvented by using salient interest points and compares and contrasts an extension to previous work in which the concept of scale is incorporated into the selection of salient regions to select the areas of the image that are most interesting and generate local descriptors to describe the image characteristics in that region. The paper describes and contrasts two such salient region descriptors and compares them through their repeatability rate under a range of common image transforms. Finally, the paper goes on to investigate the performance of one of the salient region detectors in an image retrieval situation.

Keywords

Image Retrieval Image Content Interest Point Query Image Salient Point 
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 2004

Authors and Affiliations

  • Jonathon S. Hare
    • 1
  • Paul H. Lewis
    • 1
  1. 1.Intelligence, Agents, Multimedia Group, School of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUnited Kingdom

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