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An effective hybrid framework for content based image retrieval (CBIR)

An effective hybrid framework for content based image retrieval (CBIR)

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548903432

An effective hybrid framework for content based image retrieval (CBIR)

About this item

Full title

An effective hybrid framework for content based image retrieval (CBIR)

Publisher

New York: Springer US

Journal title

Multimedia tools and applications, 2021-07, Vol.80 (17), p.26911-26937

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

In recent years, we have witnessed a massive growth in the generation of images on the cyberspace which demands to develop automated solutions for effective content management. Content-based image retrieval (CBIR) systems have been proposed to reduce the dependency on textual annotations-based image retrieval systems. There exists a variety of feat...

Alternative Titles

Full title

An effective hybrid framework for content based image retrieval (CBIR)

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2548903432

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2548903432

Other Identifiers

ISSN

1380-7501

E-ISSN

1573-7721

DOI

10.1007/s11042-021-10530-x

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