Long Xu

(Author)

Visual Quality Assessment by Machine Learning (2015)Paperback - 2015, 27 May 2015

Visual Quality Assessment by Machine Learning (2015)
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Part of Series
Springerbriefs in Electrical and Computer Engineering / Spri
Part of Series
Springerbriefs in Electrical and Computer Engineering
Part of Series
Springerbriefs in Signal Processing
Print Length
132 pages
Language
English
Publisher
Springer
Date Published
27 May 2015
ISBN-10
9812874674
ISBN-13
9789812874672

Description

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.

Product Details

Authors:
Long XuWeisi LinC -C Jay Kuo
Book Edition:
2015
Book Format:
Paperback
Country of Origin:
NL
Date Published:
27 May 2015
Dimensions:
23.39 x 15.6 x 0.81 cm
Genre:
Science/Technology Aspects
ISBN-10:
9812874674
ISBN-13:
9789812874672
Language:
English
Location:
Singapore
Pages:
132
Publisher:
Weight:
217.72 gm

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