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Mining Image Databases by Content

  • Gerald Schaefer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7051)

Abstract

Visual information is becoming more important and at a rapid rate. However, creators and users are reluctant to annotate visual content making it difficult to search these collections. Content-based image retrieval (CBIR) techniques extract visual descriptors directly from image data and can hence be used in situations where textual information is not available. In this paper, we give a brief introduction on some of the basic colour descriptors that are employed in CBIR.

Keywords

Image Retrieval Colour Feature Colour Histogram Colour Signature Colour Distribution 
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 2011

Authors and Affiliations

  • Gerald Schaefer
    • 1
  1. 1.Department of Computer ScienceLoughborough UniversityLoughboroughU.K.

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