| Description |
1 online resource (xiv, 132 pages) : illustrations (some color) |
| Series |
SpringerBriefs in electrical and computer engineering, Signal processing, 2191-8112 |
|
SpringerBriefs in electrical and computer engineering. Signal processing.
|
| Contents |
Introduction -- Fundamental knowledges of machine learning -- Image features and feature processing -- Feature pooling by learning -- Metrics fusion -- Summary and remarks for future research |
| Summary |
The book encompasses the state-of-the-art visual quality assessment (VQA) and learning based visual quality assessment (LB-VQA) by providing a comprehensive overview of the existing relevant methods. It delivers the readers the basic knowledge, systematic overview and new development of VQA. It also encompasses the preliminary knowledge of Machine Learning (ML) to VQA tasks and newly developed ML techniques for the purpose. Hence, firstly, it is particularly helpful to the beginner-readers (including research students) to enter into VQA field in general and LB-VQA one in particular. Secondly, new development in VQA and LB-VQA particularly are detailed in this book, which will give peer researchers and engineers new insights in VQA |
| Analysis |
beeldverwerking |
|
image processing |
|
machine vision |
|
engineering |
|
computational science |
|
spraak |
|
speech |
|
Engineering (General) |
|
Techniek (algemeen) |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed May 14, 2015) |
| Subject |
Machine learning.
|
|
Image processing -- Digital techniques.
|
|
digital imaging.
|
|
COMPUTERS -- General.
|
|
Image processing -- Digital techniques
|
|
Machine learning
|
| Form |
Electronic book
|
| Author |
Lin, Weisi, author.
|
|
Kuo, C.-C. Jay (Chung-Chieh Jay), author.
|
| ISBN |
9789812874689 |
|
9812874682 |
|
9812874674 |
|
9789812874672 |
|
