Visual Quality Assessment by Machine Learning
(Part of the SpringerBriefs in Electrical and Computer Engineering Series)
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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.
Format:Paperback
Language:English
ISBN:9812874674
ISBN13:9789812874672
Release Date:May 2015
Publisher:Springer
Length:132 Pages
Weight:0.48 lbs.
Dimensions:0.3" x 6.1" x 9.2"
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