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...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57909 |
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oai:scholar.dlu.edu.vn:DLU123456789-579092023-11-11T05:56:31Z Visual Quality Assessment by Machine Learning Xu, Long Lin, Weisi Kuo, C.-C. Jay General Computers Digital techniques Image processing 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. 2015-09-01T07:17:12Z 2015-09-01T07:17:12Z 2015 Book 978-981-287-468-9 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57909 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
General Computers Digital techniques Image processing Machine learning |
| spellingShingle |
General Computers Digital techniques Image processing Machine learning Xu, Long Lin, Weisi Kuo, C.-C. Jay Visual Quality Assessment by Machine Learning |
| description |
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 |
Book |
| author |
Xu, Long Lin, Weisi Kuo, C.-C. Jay |
| author_facet |
Xu, Long Lin, Weisi Kuo, C.-C. Jay |
| author_sort |
Xu, Long |
| title |
Visual Quality Assessment by Machine Learning |
| title_short |
Visual Quality Assessment by Machine Learning |
| title_full |
Visual Quality Assessment by Machine Learning |
| title_fullStr |
Visual Quality Assessment by Machine Learning |
| title_full_unstemmed |
Visual Quality Assessment by Machine Learning |
| title_sort |
visual quality assessment by machine learning |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57909 |
| _version_ |
1782538347394105344 |