Share
Visual Quality Assessment by Machine Learning (Springerbriefs in Electrical and Computer Engineering)
Long Xu; Weisi Lin; C.-C. Jay Kuo (Author)
·
Springer
· Paperback
Visual Quality Assessment by Machine Learning (Springerbriefs in Electrical and Computer Engineering) - Long Xu; Weisi Lin; C.-C. Jay Kuo
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Thursday, July 04 and
Tuesday, July 16.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Visual Quality Assessment by Machine Learning (Springerbriefs in Electrical and Computer Engineering)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
