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Content-Based Image Retrieval: Some Basics

  • Conference paper
Man-Machine Interactions 2

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 103))

Abstract

Image collections are growing at a rapid rate, motivating the need for efficient and effective tools to query these databases. Content-based image retrieval (CBIR) techniques extract features directly from image data and use these, coupled with a similarity measure, to search through image collections. In this paper, we introduce some of the basic image features that are used for CBIR.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Loughborough University, Loughborough, UK

    Gerald Schaefer

Authors
  1. Gerald Schaefer
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Editor information

Editors and Affiliations

  1. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland

    Tadeusz Czachórski

  2. Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Stanisław Kozielski  & Urszula Stańczyk  & 

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Schaefer, G. (2011). Content-Based Image Retrieval: Some Basics. In: Czachórski, T., Kozielski, S., Stańczyk, U. (eds) Man-Machine Interactions 2. Advances in Intelligent and Soft Computing, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23169-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-23169-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23168-1

  • Online ISBN: 978-3-642-23169-8

  • eBook Packages: EngineeringEngineering (R0)

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