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Computer vision methods for fast ima...
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Scherer, Rafał,
Computer vision methods for fast image classification and retrieval /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Computer vision methods for fast image classification and retrieval // Rafał Scherer.
Author:
Scherer, Rafał,
Published:
Cham, Switzerland :Springer, : c2020.,
Description:
ix, 137 p. :ill. (some col.) ; : 25 cm.;
Subject:
Computer vision. -
ISBN:
9783030121945 (cloth) :
Computer vision methods for fast image classification and retrieval /
Scherer, Rafał,
Computer vision methods for fast image classification and retrieval /
Rafał Scherer. - Cham, Switzerland :Springer,c2020. - ix, 137 p. :ill. (some col.) ;25 cm. - Studies in computational intelligence ;volume 821. - Studies in computational intelligence ;v. 50. .
Includes bibliographical references.
Introduction -- Feature detection -- Image indexing techniques -- Novel methods for image description -- Image retrieval and classification in relational databases -- Concluding remarks and perspectives in computer vision.
The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as 'hand-crafted features.' It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book's main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
ISBN: 9783030121945 (cloth) :NT4102
doi
LCCN: 2018968376
Nat. Bib. Agency Control No.: 019267431UkSubjects--Topical Terms:
561800
Computer vision.
LC Class. No.: TA1634 / .S34 2020
Dewey Class. No.: 006.37
Computer vision methods for fast image classification and retrieval /
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Computer vision methods for fast image classification and retrieval /
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Rafał Scherer.
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Springer,
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c2020.
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ix, 137 p. :
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Includes bibliographical references.
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Introduction -- Feature detection -- Image indexing techniques -- Novel methods for image description -- Image retrieval and classification in relational databases -- Concluding remarks and perspectives in computer vision.
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The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as 'hand-crafted features.' It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book's main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
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