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Kniha Content-Based Image Retrieval Vipin Tyagi

Content-Based Image Retrieval

Ideas, Influences, and Current Trends

Autor: Vipin Tyagi
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer Verlag, Singapore
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
2 286 Kč
The book describes several techniques used to bridge the semantic gap and reflects on recent advance...

Informace o knize

Autor
Vipin Tyagi
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2018
Stránek
378
EAN
9789811067587
ISBN
9811067589
Enbook ID
18181987
Vydavatel
Springer Verlag, Singapore
Hmotnost
958
Rozměry
155 x 235 x 23

Kompletní popis

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.

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