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Computer Vision Methods for Fast Image Classification and Retrieval

  • Rafał Scherer

Part of the Studies in Computational Intelligence book series (SCI, volume 821)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Rafał Scherer
    Pages 1-5
  3. Rafał Scherer
    Pages 7-32
  4. Rafał Scherer
    Pages 33-82
  5. Rafał Scherer
    Pages 83-105

About this book

Introduction

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.

Keywords

Computational Intelligence Computer Vision Feature Detection Image Indexing Techniques Image Description Relational Databases

Authors and affiliations

  • Rafał Scherer
    • 1
  1. 1.Institute of Computational IntelligenceCzęstochowa University of TechnologyCzęstochowaPoland

Bibliographic information

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