Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering)

Long Xu, Weisi Lin, C.-C. Jay Kuo

ISBN 10: 9812874674 / ISBN 13: 9789812874672

Published by Springer 2015-05-31, 2015

About this Item

Seller Inventory # 6666-IUK-9789812874672

Bibliographic Details

• Title: Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering)
• Publisher: Springer 2015-05-31
• Publication Date: 2015
• Language: English
• ISBN 10: 9812874674
• ISBN 13: 9789812874672
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.