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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | SpringerBriefs in Signal Processing,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-981-287-468-9 | ||
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| 005 | 20220425114422.0 | ||
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| 008 | 150509s2015 si | s |||| 0|eng d | ||
| 020 | |a 9789812874689 |9 978-981-287-468-9 | ||
| 024 | 7 | |a 10.1007/978-981-287-468-9 |2 doi | |
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| 100 | 1 | |a Xu, Long. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Visual Quality Assessment by Machine Learning |h [electronic resource] / |c by Long Xu, Weisi Lin, C.-C. Jay Kuo. |
| 250 | |a 1st ed. 2015. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2015. | |
| 300 | |a XIV, 132 p. 19 illus., 16 illus. in color. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Signal Processing, |x 2196-4084 | |
| 505 | 0 | |a Introduction -- Fundamental knowledges of machine learning -- Image features and feature processing -- Feature pooling by learning -- Metrics fusion -- Summary and remarks for future research. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 700 | 1 | |a Lin, Weisi. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Kuo, C.-C. Jay. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9789812874696 |
| 776 | 0 | 8 | |i Printed edition: |z 9789812874672 |
| 830 | 0 | |a SpringerBriefs in Signal Processing, |x 2196-4084 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-981-287-468-9 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
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| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||