Toward A Practical Perceptual Video Quality Metric
At Netflix we care about video quality, and we care about measuring video quality accurately at scale. Our method, Video Multimethod Assessment Fusion (VMAF), seeks to reflect the viewer’s perception of our streaming quality. We are open-sourcing this tool and invite the research community to collaborate with us on this important project.
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Tasks
Datasets
MSU FR VQA Database
Results from the Paper
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Benchmark |
|---|---|---|---|---|---|---|
| Video Quality Assessment | MSU FR VQA Database | VMAF Y (v063) | SRCC | 0.942 | # 1 | |
| PLCC | 0.950 | # 2 | ||||
| KLCC | 0.809 | # 1 | ||||
| Video Quality Assessment | MSU FR VQA Database | VMAF Y (v061_neg) | SRCC | 0.914 | # 5 | |
| PLCC | 0.941 | # 4 | ||||
| KLCC | 0.765 | # 5 | ||||
| Video Quality Assessment | MSU FR VQA Database | VMAF Y (v062) | SRCC | 0.942 | # 1 | |
| PLCC | 0.950 | # 2 | ||||
| KLCC | 0.809 | # 1 | ||||
| Video Quality Assessment | MSU FR VQA Database | VMAF Y (v061) | SRCC | 0.942 | # 1 | |
| PLCC | 0.952 | # 1 | ||||
| KLCC | 0.809 | # 1 |
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