| Visual Quality Assessment by Machine Learning 2015 Edition Contributor(s): Xu, Long (Author), Lin, Weisi (Author), Kuo, C. -C Jay (Author) |
|
 |
ISBN: 9812874674 ISBN-13: 9789812874672 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: May 2015 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Computers | Computer Graphics - Technology & Engineering | Engineering (general) |
| Dewey: 006.31 |
| Series: Springerbriefs in Electrical and Computer Engineering / Spri |
| Physical Information: 0.32" H x 6.14" W x 9.21" (0.48 lbs) 132 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |
