Multi-objective whale optimization algorithm for content-based image retrieval

In the recent years, there are massive digital images collections in many fields of our life, which led the technology to find methods to search and retrieve these images efficiently. The content-based is one of the popular methods used to retrieve images, which depends on the color, texture and sha...

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Veröffentlicht in:	Multimedia tools and applications Jg. 77; H. 19; S. 26135 - 26172
Hauptverfasser:	Aziz, Mohamed Abd El, Ewees, Ahmed A., Hassanien, Aboul Ella
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2018 Springer Nature B.V
Schlagworte:	Classification Complexity Computer Communication Networks Computer Science Data Structures and Information Theory Digital imaging Feature extraction Image classification Image management Image retrieval Multimedia Information Systems Multiple objective analysis Optimization Optimization algorithms Sorting algorithms Special Purpose and Application-Based Systems Content based image retrieval Feature selection Multi-objective optimization Whale optimization algorithm Non-dominated sorting
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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