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)
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Table of contents (6 chapters)
Keywords
About this book
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.
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