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...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsRecommended Reading
Antani S, Kasturi R, Jain R. Survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video. Pattern Recognit. 2002;35(4):945–65.
Eakins JP. Towards intelligent image retrieval. Pattern Recognit. 2002;35(1):3–14.
Schettini R, Ciocca G, Zuffi S. Indexing and retrieval in color image databases. In: Luo R, MacDonald L, editors. Color imaging science: exploiting digital media. New York: Wiley; 2002. p. 183–211.
Sikora T. The MPEG-7 visual standard for content description – an overview. IEEE Trans Circuits Syst Video Technol. 2001;11(6):696–702.
Smeulders AWM, Worring M, Santini S, Gupta A, Jain R. Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell. 2000;2(2):1349–80.
Swain M.J, Ballard D.H. Indexing via color histograms. In: Proceedings of the 3rd IEEE Conference Computer Vision. 1990. p. 390–93.
Zhou XS, Huang TS. Relevance feedback in image retrieval: a comprehensive review. Multimed Syst. 2003;8(6):536–44.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
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
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_162
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering