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...
Cote: | Libro Electrónico |
---|---|
Auteurs principaux: | Xu, Long (Auteur), Lin, Weisi (Auteur), Kuo, C.-C. Jay (Auteur) |
Collectivité auteur: | SpringerLink (Online service) |
Format: | Électronique eBook |
Langue: | Inglés |
Publié: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2015.
|
Édition: | 1st ed. 2015. |
Collection: | SpringerBriefs in Signal Processing,
|
Sujets: | |
Accès en ligne: | Texto Completo |
Documents similaires
-
Advances in Machine Learning and Signal Processing Proceedings of MALSIP 2015 /
Publié: (2016) -
Exploring Image Binarization Techniques
par: Chaki, Nabendu, et autres
Publié: (2014) -
Kernel Learning Algorithms for Face Recognition
par: Li, Jun-Bao, et autres
Publié: (2014) -
Wide Area Surveillance Real-time Motion Detection Systems /
Publié: (2014) -
Image Fusion Theories, Techniques and Applications /
par: Mitchell, H.B
Publié: (2010)