Overview
- Highlights new research and techniques
- Presents methods for accelerating image retrieval and classi?cation in large datasets
- Includes selected methods that are designed to work directly in relational database management systems
Part of the book series: Studies in Computational Intelligence (SCI, volume 821)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
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.
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.
Similar content being viewed by others
Keywords
Table of contents (6 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Computer Vision Methods for Fast Image Classification and Retrieval
Authors: Rafał Scherer
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-12195-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-12194-5Published: 07 February 2019
Softcover ISBN: 978-3-030-12197-6Published: 28 October 2020
eBook ISBN: 978-3-030-12195-2Published: 29 January 2019
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: IX, 137
Number of Illustrations: 30 b/w illustrations, 55 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision