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

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

ISBN 10: 9812874674 / ISBN 13: 9789812874672

Published by Springer, 2015

About this Item

Print on Demand pp. 132.

Seller Inventory # 373632255

Bibliographic Details

• Title: Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering)
• Publisher: Springer
• Publication Date: 2015
• Language: English
• ISBN 10: 9812874674
• ISBN 13: 9789812874672
• Binding: Soft cover
• 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.