Compact Composite Descriptors for Content Based Image Retrieval: Basics, Concepts, Tools - Couverture souple

A. Chatzichristofis, Savvas; S. Boutalis, Yiannis

 
9783639373912: Compact Composite Descriptors for Content Based Image Retrieval: Basics, Concepts, Tools
Couverture souple
ISBN 10 : 363937391X ISBN 13 : 9783639373912
Editeur : VDM Verlag Dr. Müller, 2011

Synopsis

This book covers the state of the art in image indexing and retrieval techniques paying particular attention in recent trends and applications. It presents the basic notions and tools of content-based image description and retrieval, covering all significant aspects of image preprocessing, features extraction, similarity matching and evaluation methods. Particular emphasis is given in recent computational intelligence techniques for producing compact content based descriptors comprising color, texture and spatial distribution information. Early and late fusion techniques are aslo used for improving retrieval results from large probably distributed inhomogenous databases. The book reports on the basic international standards and provides an updated presentation of the current retrieval systems. Numerous utilities and technques are implemented in software, which is provided as a supplementary material under an open-source licence aggreement. The book is particularly useful for postgraduate students and researchers in the field of image retrieval, who want to easlily elaborate and test state of the art techniques and possibly incorporate it in their development.

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

Présentation de l'éditeur

This book covers the state of the art in image indexing and retrieval techniques paying particular attention in recent trends and applications. It presents the basic notions and tools of content-based image description and retrieval, covering all significant aspects of image preprocessing, features extraction, similarity matching and evaluation methods. Particular emphasis is given in recent computational intelligence techniques for producing compact content based descriptors comprising color, texture and spatial distribution information. Early and late fusion techniques are aslo used for improving retrieval results from large probably distributed inhomogenous databases. The book reports on the basic international standards and provides an updated presentation of the current retrieval systems. Numerous utilities and technques are implemented in software, which is provided as a supplementary material under an open-source licence aggreement. The book is particularly useful for postgraduate students and researchers in the field of image retrieval, who want to easlily elaborate and test state of the art techniques and possibly incorporate it in their development.

Biographie de l'auteur

Savvas A. Chatzichristofis, PhD, studied Electrical and Computer Engineering at Democritus University of Thrace (DUTH), Greece and received the PhD degree from the same department. Yiannis S. Boutalis, PhD, is an Associate Professor and director of the Automatic Control Systems and Robotics Lab of Democritus University of Thrace, Greece.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2011
Langue
anglais
ISBN 10 
363937391X
ISBN 13 
9783639373912
Reliure
Broché
Nombre de pages
216
Coordonnées du fabricant
non disponible
Personne responsable
non disponible