Computer Vision Methods for Fast Image Classi¿cation and Retrieval

1. Auflage 2020
ISBN: 978-3-030-12194-5
Verlag: Springer International Publishing

Buch, Englisch, Band 821, 137 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 395 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Scherer, Rafa¿

Scherer, Rafal

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung

Inhaltsverzeichnis

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 Classi?cation in Relational Databases etc.