Computer Vision Methods for Fast Image Classication and Retrieval

Scherer, Rafal

ISBN 10: 3030121976 / ISBN 13: 9783030121976

Editore: Springer 2020-10, 2020

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Codice articolo 6666-IUK-9783030121976

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Titolo: Computer Vision Methods for Fast Image ...

Casa editrice: Springer 2020-10

Data di pubblicazione: 2020

Legatura: PF

Condizione: New

Descrizione articolo

Riassunto:

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.

Dalla quarta di copertina:

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.