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

Author: Vipin Tyagi
Publisher: Singapore : Springer Singapore, 2017
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Additional Physical Format: Erscheint auch als:
Druck-Ausgabe
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Vipin Tyagi
ISBN: 9789811067594 9811067597
OCLC Number: 1021400048
Description: 1 Online-Ressource (XXXIV, 378 Seiten 134 Illustrationen, 73 Illustrationen in color)
Responsibility: by Vipin Tyagi.

Abstract:

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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