SUR-FeatNet: Predicting the satisfied user ratio curve for image compression with deep feature learning.
Hanhe LinVlad HosuChunling FanYun ZhangYuchen MuRaouf HamzaouiDietmar SaupePublished in: Qual. User Exp. (2020)
Keyphrases
- image compression
- learning process
- learning algorithm
- knowledge acquisition
- learning community
- online learning
- neural network
- inductive inference
- reinforcement learning
- learning systems
- deep learning
- low bit rate
- vector quantization
- supervised learning
- active learning
- prior knowledge
- multiscale
- e learning
- search engine