SUR-FeatNet: Predicting the satisfied user ratio curve for...

Quality and User Experience 2020 / 11 Vol. 5; Iss. 1

SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning

Lin, Hanhe, Hosu, Vlad, Fan, Chunling, Zhang, Yun, Mu, Yuchen, Hamzaoui, Raouf, Saupe, Dietmar
How much do you like this book?
What’s the quality of the file?
Download the book for quality assessment
What’s the quality of the downloaded files?
Volume:
5
Journal:
Quality and User Experience
DOI:
10.1007/s41233-020-00034-1
Date:
November, 2020
File:
PDF, 2.14 MB
2020
Conversion to is in progress
Conversion to is failed