From: Supporting visual quality assessment with machine learning
VQA method | Target | Reference signal | Number of | Feature space | Mapping | ML paradigm |
---|---|---|---|---|---|---|
 |  | availability | features |  | function |  |
Narwaria and Lin [24] | Image/video | FR | 256 | SVD | Single | SVM |
Charrier et al. [22] | Image | FR | 25 | Spatial/frequency criteria | Multiple | SVM |
Redi et al. [16] | Image | RR | 60 | Correlogram | Multiple | SVM/CBP |
Li et al. [18] | Image | NR | 4 | Perceptual contents | Single | GRNN |
Moorthy and Bovik [19] | Image | NR | 88 | Steerable pyramid decomposition | Multiple | SVM |
Staelens et al. [12] | Video | NR | 4 | Bitstream-based parameters | Single | GP |