Low-level feature image retrieval using representative images from minimum spanning tree clustering

Typical content-based image retrieval systems retrieve images based on comparison of low-level features such as images color, texture, and shapes of objects in the images. Further, the image covariance descriptor (CD) and the image Patch Relational Covariance Descriptor (PRCD) can be used to summari...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 83; no. 2; pp. 3335 - 3356
Main Authors:	Khunsongkiet, Piyavach, Bootkrajang, Jakramate, Techawut, Churee
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.01.2024 Springer Nature B.V
Subjects:	Algorithms Clustering Computer Communication Networks Computer Science Covariance Data Structures and Information Theory Graph theory Image retrieval Multimedia Multimedia Information Systems Retrieval Special Purpose and Application-Based Systems Patch Relational Covariance Descriptor Image retrieval Representative image retrieval Image clustering and merging Low-level visual feature Patch arrangement vision Region covariance matrix
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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