Content-Based Image Retrieval: Ideas, Influences, and Current Trends - Brossura

Tyagi, Vipin

 
9789811349447: Content-Based Image Retrieval: Ideas, Influences, and Current Trends
Brossura
ISBN 10: 9811349444 ISBN 13: 9789811349447
Casa editrice: Springer, 2020

Sinossi

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies.

The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Prof. Vipin Tyagi, Fellow IETE, is currently working at the Jaypee University of Engineering and Technology, Guna, India. He is the Vice President of the Computer Society of India (CSI) of Region 3. He is also associated with the CSI Special Interest Group on Cyber Forensics. He was President of the Engineering Sciences Section of the Indian Science Congress Association (ISCA) for the term 2010–11. He has published a number of papers in various prominent journals and advanced research series. He is a recognized expert in the areas Image Processing and Cyber Forensics.

Dalla quarta di copertina

The book describes several techniques used to bridge the semantic gap and reflects on recent advancements in content-based image retrieval (CBIR). It presents insights into and the theoretical foundation of various essential concepts related to image searches, together with examples of natural and texture image types. The book discusses key challenges and research topics in the context of image retrieval, and provides descriptions of various image databases used in research studies.

The area of image retrieval, and especially content-based image retrieval (CBIR), is a very exciting one, both for research and for commercial applications. The book explains the low-level features that can be extracted from an image (such as color, texture, shape) and several techniques used to successfully bridge the semantic gap in image retrieval, making it a valuable resource for students and researchers interested in the area of CBIR alike.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2020
Lingua
Inglese
ISBN 10 
9811349444
ISBN 13 
9789811349447
Rilegatura
Copertina flessibile
Numero di pagine
412
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
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Altre edizioni note dello stesso titolo

9789811067587: Content-based Image Retrieval: Ideas, Influences, and Current Trends

Edizione in evidenza

ISBN 10:  9811067589 ISBN 13:  9789811067587
Casa editrice: Springer-Nature New York Inc, 2018
Rilegato