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Visual Quality Assessment by Machine Learning

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.

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Detail Information
Series Title
-
Call Number
-
Publisher
The Author : Springer Singapore.,
Collation
XIV, 132
Language
English
ISBN/ISSN
978-981-287-468-9
Classification
NONE
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
-
Subject(s)
Computer Vision
Computational Intelligence
Signal, Speech and Image Processing
Specific Detail Info
-
Statement of Responsibility
Other Information
Cataloger
Yudi
Source
-
Validator
-
Other version/related

No other version available

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