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Feature Extraction for Content-Based Image Retrieval

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Encyclopedia of Database Systems

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Synonyms

Image indexing

Definition

Feature extraction for content-based image retrieval is the process of automatically computing a compact representation (numerical or alphanumerical) of some attribute of digital images, to be used to derive information about the image contents. It can be seen as a case of dimensionality reduction. A feature, or attribute, can be related to a visual characteristic, but it may also be related to an interpretative response to an image or to a spatial, symbolic, semantic, or emotional characteristic. A feature may relate to a single attribute or be a composite representation of different attributes. Features can be classified as general purpose or domain-dependent. The general purpose features can be used in any context, while the domain-dependent features are designed specifically for a given application. Every feature is intimately tied with the kind of information that it captures. The choice of a particular feature over another depends on the given...

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Recommended Reading

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Author information

Authors and Affiliations

  1. University of Milano-Bicocca, Milan, Italy

    Raimondo Schettini & Gianluigi Ciocca

  2. National Research Council (CNR), Milan, Italy

    Isabella Gagliardi

Authors
  1. Raimondo Schettini
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  2. Gianluigi Ciocca
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  3. Isabella Gagliardi
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Corresponding author

Correspondence to Raimondo Schettini .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, GA, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, ON, Canada

    M. Tamer Özsu

Section Editor information

  1. The Chinese University of Hong Kong, Hong Kong, China

    Jeffrey Xu Yu

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Schettini, R., Ciocca, G., Gagliardi, I. (2018). Feature Extraction for Content-Based Image Retrieval. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_162

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