Computer Vision Methods for Fast Image Classi?cation and Retrieval
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.
1133115705
Computer Vision Methods for Fast Image Classi?cation and Retrieval
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.
99.0 In Stock
Computer Vision Methods for Fast Image Classi?cation and Retrieval

Computer Vision Methods for Fast Image Classi?cation and Retrieval

by Rafal Scherer
Computer Vision Methods for Fast Image Classi?cation and Retrieval

Computer Vision Methods for Fast Image Classi?cation and Retrieval

by Rafal Scherer

eBook1st ed. 2020 (1st ed. 2020)

$99.00 

Available on Compatible NOOK devices, the free NOOK App and in My Digital Library.
WANT A NOOK?  Explore Now

Related collections and offers


Overview

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.

Product Details

ISBN-13: 9783030121952
Publisher: Springer-Verlag New York, LLC
Publication date: 01/29/2019
Series: Studies in Computational Intelligence , #821
Sold by: Barnes & Noble
Format: eBook
File size: 56 MB
Note: This product may take a few minutes to download.

Table of Contents

Preface.- Chapter 1. Introduction.- Chapter 2. Feature Detection.- Chapter 3. Image Indexing Techniques.- Chapter 4. Novel Methods for Image Description.- Chapter 5. Image Retrieval and Classification in Relational Databases etc.
From the B&N Reads Blog

Customer Reviews