Incremental indexing with binary feature based Tversky index using black hole entropic fuzzy clustering in cloud computing

Due to the large volume of computational and storage requirements of content based image retrieval (CBIR), outsourcing image to cloud providers become an attractive research. Even though, the cloud service provides efficient indexing of the condensed images, it remains a major issue in the process o...

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Bibliographic Details
Published in:	Multimedia tools and applications Vol. 81; no. 13; pp. 18457 - 18481
Main Authors:	Bel, K. Nalini Sujantha, Sam, I. Shatheesh
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.05.2022 Springer Nature B.V
Subjects:	Black holes Centroids Cloud computing Clustering Coders Computer Communication Networks Computer Science Data Structures and Information Theory Image management Image retrieval Indexing Multimedia Information Systems Special Purpose and Application-Based Systems Incremental indexing Cloud computing Image retrieval Deep stacked autoencoder Tversky index
ISSN:	1380-7501, 1573-7721
Online Access:	Get full text
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