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Efficient CBIR using Color Histogram Processing: A Robust CBIR System - Couverture souple

Sharma, Neetu; Rawat, Paresh

 
9783659107832: Efficient CBIR using Color Histogram Processing: A Robust CBIR System
Couverture souple
ISBN 10 : 3659107832 ISBN 13 : 9783659107832
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

The need for efficient content-based image retrieval has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. Content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. In CBIR (Content-Based Image Retrieval), visual features such as shape, color and texture are extracted to characterize images. Each of the features is represented using one or more feature descriptors. During the retrieval, features and descriptors of the query are compared to those of the images in the database in order to rank each indexed image according to its distance to the query The similarity of images depends on the feature representation.However users have difficulties in representing their information needs in queries to content based image retrieval systems.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The need for efficient content-based image retrieval has increased hugely. Efficient and effective retrieval techniques of images are desired because of the explosive growth of digital images. Content based image retrieval (CBIR) is a promising approach because of its automatic indexing retrieval based on their semantic features and visual appearance. In CBIR (Content-Based Image Retrieval), visual features such as shape, color and texture are extracted to characterize images. Each of the features is represented using one or more feature descriptors. During the retrieval, features and descriptors of the query are compared to those of the images in the database in order to rank each indexed image according to its distance to the query The similarity of images depends on the feature representation.However users have difficulties in representing their information needs in queries to content based image retrieval systems.

Biographie de l'auteur

I received BE degree (Hons.) in Electronics and communication engineering, and MTECH (Hons.) in VLSI Design from RGPV University, Bhopal(M.P.),INDIA in 2007& 2011 respectively. I joined the Truba institute of Engineering and Information Technology, Bhopal as a lecturer in 2007, where currently I am working as an assistant professor.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659107832
ISBN 13 
9783659107832
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
Personne responsable
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