Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering)
Xu, Long, Lin, Weisi, Kuo, C.-C. Jay
ISBN 10: 9812874674 ISBN 13: 9789812874672
Published by Springer, 2015
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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.
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Title: Visual Quality Assessment by Machine ...
Publisher: Springer
Publication Date: 2015
Binding: Paperback
Condition: Like New
Book Type: book
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Seller Inventory # Z1-F-007-02237
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Visual Quality Assessment by Machine Learning
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the emerging techniques of learning based visual quality assessmentHighlights machine learning techniques and their applications in visual quality assessmentIncludes a number of real-world examples that readers can implement in the. Seller Inventory # 31216645
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Visual Quality Assessment by Machine Learning
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Taschenbuch. Condition: Neu. Visual Quality Assessment by Machine Learning | Long Xu (u. a.) | Taschenbuch | xiv | Englisch | 2015 | Springer Singapore | EAN 9789812874672 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 104899766
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Visual Quality Assessment by Machine Learning
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Springer Nature Singapore, Springer Nature Singapore Mai 2015, 2015
ISBN 10: 9812874674
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Taschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 148 pp. Englisch. Seller Inventory # 9789812874672
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Visual Quality Assessment by Machine Learning
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Springer Nature Singapore Mai 2015, 2015
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ISBN 13: 9789812874672
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 148 pp. Englisch. Seller Inventory # 9789812874672
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Visual Quality Assessment by Machine Learning (SpringerBriefs in Electrical and Computer Engineering)
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