Composite description based on color vector quantization and visual primary features for CBIR tasks

This paper presents a novel method for content-based color image retrieval that combines color vector quantization and visual primary features into a compact feature representation. Color vector quantization is proposed to describe the image in a compressed stream by preserving the contrast of an im...

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Veröffentlicht in:	Multimedia tools and applications Jg. 80; H. 24; S. 33409 - 33427
Hauptverfasser:	Asif, M. Daud Abdullah, Wang, Jing, Gao, Yongsheng, Zhou, Jun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2021 Springer Nature B.V
Schlagworte:	Color imagery Computer Communication Networks Computer Science Counters Data Structures and Information Theory Datasets Feature extraction Histograms Image contrast Image management Image retrieval Mobile computing Multimedia Information Systems Object recognition Representations Special Purpose and Application-Based Systems Systems analysis Vector quantization Color moments Multimedia retrieval Vector quantization Color image retrieval Visual primary features
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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