Quote:
Originally Posted by MoSal
@Beelzebubu
What's really funny, Netflix will not be using VMAF on their published AOM content as is. Why? Because of film grain synthesis  |
Well, if VMAF is used on the reconstructed video, it should be as good as VMAF is at dealing with film grain.
If VMAF is bad at dealing with film grain, they need to address that.
The nice thing about VMAF is that it's really a machine learning framework. They can keep on adding new clips and kinds of encodings and training it to rate those. The big expenses is getting the subjective ratings to use as ground-truth data. But VMAF itself can always be as good as the ground truth data from subjective testing.