A novel image retrieval technique based on semi supervised clustering

Traditionally Content-Based Image Retrieval (CBIR) problems investigate the occurrence of images matching to a user-submitted query image or a sketch drawn by the user within a large image collection. However, there is often limited support for retrieving semantically similar images from large datab...

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Vydané v:	Multimedia tools and applications Ročník 80; číslo 28-29; s. 35741 - 35769
Hlavní autori:	S, Nisha Chandran, Gangodkar, Durgaprasad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.11.2021 Springer Nature B.V
Predmet:	1166: Advances of machine learning in data analytics and visual information processing Clustering Computer Communication Networks Computer Science Data Structures and Information Theory Decision trees Image management Image retrieval Matching Multimedia Information Systems Semantics Similarity Special Purpose and Application-Based Systems Kullback -Leibler distance Gaussian mixture modeling Clustering Decision trees CBIR Micro clusters
ISSN:	1380-7501, 1573-7721
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