Visual Quality Assessment by Machine Learning

Nonfiction, Computers, Application Software, Computer Graphics, Science & Nature, Technology, Electronics
Cover of the book Visual Quality Assessment by Machine Learning by Long Xu, C.-C. Jay Kuo, Weisi Lin, Springer Singapore
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Author: Long Xu, C.-C. Jay Kuo, Weisi Lin ISBN: 9789812874689
Publisher: Springer Singapore Publication: May 9, 2015
Imprint: Springer Language: English
Author: Long Xu, C.-C. Jay Kuo, Weisi Lin
ISBN: 9789812874689
Publisher: Springer Singapore
Publication: May 9, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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