Computer Vision Methods for Fast Image Classication and Retrieval

Lieferzeit: Lieferbar innerhalb 14 Tagen

106,99 

Studies in Computational Intelligence 821

ISBN: 3030121976
ISBN 13: 9783030121976
Autor: Scherer, Rafal
Verlag: Springer Verlag GmbH
Umfang: ix, 137 S., 30 s/w Illustr., 55 farbige Illustr., 137 p. 85 illus., 55 illus. in color.
Erscheinungsdatum: 28.10.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert

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.

Artikelnummer: 9717586 Kategorie:

Beschreibung

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 books 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.

Herstellerkennzeichnung:


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