Content-Based Image Retrieval

Ideas, Influences, and Current Trends

Nonfiction, Computers, Advanced Computing, Theory, Application Software, Computer Graphics, General Computing
Cover of the book Content-Based Image Retrieval by Vipin Tyagi, Springer Singapore
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Author: Vipin Tyagi ISBN: 9789811067594
Publisher: Springer Singapore Publication: January 15, 2018
Imprint: Springer Language: English
Author: Vipin Tyagi
ISBN: 9789811067594
Publisher: Springer Singapore
Publication: January 15, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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