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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Vydané v:	Multimedia tools and applications Ročník 80; číslo 24; s. 33409 - 33427
Hlavní autori:	Asif, M. Daud Abdullah, Wang, Jing, Gao, Yongsheng, Zhou, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.10.2021 Springer Nature B.V
Predmet:	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
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