Video Quality Assessment On Msu Video Quality 1
Metrics
KLCC
SRCC
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | KLCC | SRCC |
|---|---|---|
| vsi-a-visual-saliency-induced-index-for | 0.7524 | 0.9053 |
| Model 2 | 0.7185 | 0.8668 |
| st-greed-space-time-generalized-entropic | 0.5905 | 0.7547 |
| fovvideovdp-a-visible-difference-predictor | 0.382 | 0.537 |
| toward-a-practical-perceptual-video-quality | 0.809 | 0.942 |
| Model 6 | 0.6106 | 0.7810 |
| image-information-and-visual-quality | 0.7558 | 0.9079 |
| attentions-help-cnns-see-better-attention | 0.8015 | 0.937 |
| toward-a-practical-perceptual-video-quality | 0.809 | 0.942 |
| a-haar-wavelet-based-perceptual-similarity | 0.7451 | 0.8982 |
| mean-deviation-similarity-index-efficient-and | 0.7379 | 0.8971 |
| the-unreasonable-effectiveness-of-deep | 0.5846 | 0.7538 |
| Model 13 | 0.7499 | 0.8920 |
| multiscale-structural-similarity-for-image | 0.7625 | 0.9026 |
| toward-a-practical-perceptual-video-quality | 0.809 | 0.942 |
| deep-learning-based-full-reference-and-no | 0.695 | 0.864 |
| image-quality-assessment-from-error | 0.7615 | 0.8999 |
| sr-sim-a-fast-and-high-performance-iqa-index | 0.7472 | 0.9014 |
| fsim-a-feature-similarity-index-for-image | 0.7418 | 0.9000 |
| toward-a-practical-perceptual-video-quality | 0.765 | 0.914 |