Visual Quality Assessment by Machine Learning
Long Xu, Weisi Lin, C.-C. Jay Kuo (auth.)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.
Κατηγορίες:
Έτος:
2015
Έκδοση:
1
Εκδότης:
Springer-Verlag Singapur
Γλώσσα:
english
Σελίδες:
132
ISBN 10:
9812874674
ISBN 13:
9789812874672
Σειρές:
SpringerBriefs in Electrical and Computer Engineering
Αρχείο:
PDF, 3.04 MB
IPFS:
,
english, 2015
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