Visual Quality Assessment by Machine Learning Paperback / softback
by Long Xu, Weisi Lin, C.-C. Jay Kuo
Part of the SpringerBriefs in Signal Processing series
Paperback / softback
- Information
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:132 pages, 16 Illustrations, color; 3 Illustrations, black and white; XIV, 132 p. 19 illus., 16 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:27/05/2015
- Category:
- ISBN:9789812874672
Other Formats
- PDF from £38.24
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:132 pages, 16 Illustrations, color; 3 Illustrations, black and white; XIV, 132 p. 19 illus., 16 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:27/05/2015
- Category:
- ISBN:9789812874672
