Computer Vision Methods for Fast Image Classification and Retrieval: 821 - Brossura

Scherer, Rafał

Brossura

ISBN 10: 3030121976 ISBN 13: 9783030121976

Casa editrice: Springer, 2020

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.

Su questo libro

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.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2020
• ISBN 10: 3030121976
• ISBN 13: 9783030121976
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 148
• Contatto del produttore: non disponibile