SUR-FeatNet: Predicting the Satisfied User Ratio Curvefor Image Compression with Deep Feature Learning.
Hanhe LinVlad HosuChunling FanYun ZhangYuchen MuRaouf HamzaouiDietmar SaupePublished in: CoRR (2020)
Keyphrases
- image compression
- learning process
- knowledge acquisition
- user interface
- online learning
- learning algorithm
- recommender systems
- end users
- learning mechanism
- data sets
- inductive inference
- learning problems
- subband
- user preferences
- unsupervised learning
- supervised learning
- wavelet transform
- active learning
- reinforcement learning
- multiscale
- image segmentation
- image processing
- neural network