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Old Yesterday, 14:25   #9221  |  Link
rwill
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Quote:
Originally Posted by benwaggoner View Post
Someone else's eyes ?

The best quality metric available to the public I know of is p1204.3.

Some info: https://streaminglearningcenter.com/...203-p1204.html
Its a "no-reference" model? And this is supposed to be the best? Press X for doubt.
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Old Yesterday, 23:49   #9222  |  Link
benwaggoner
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Originally Posted by rwill View Post
Its a "no-reference" model? And this is supposed to be the best? Press X for doubt.
It has the best subjective correlation for perceptual video quality that I've seen.

Of course, VMAF isn't exactly a video quality metric - it is a video distortion metric. It doesn't try to say if video looks good or not, but how perceptually degraded from the source it will be.

VMAF will rate a very accurate reencode of a very terrible quality source very high, and a pretty accurate reencode of a great looking source lower, even though viewers would say the latter looks much better.

p1204.3 predicts how a viewer would relate the final quality delivered. As viewers don't have a source to compare to, that experience is fundamentally no-reference, so a no-reference metric can make sense.

Quality and distortion metrics each have their place, and which is appropriate is based on what you're trying to accomplish.

That said, I find p1204.3 to be more useful in encoder tuning than VMAF, even though a distortion metric would seem more appropriate.

There has been some interesting early work done combining reference, bitstream, and baseband analysis for further subjective correlation improvements. The nice thing about Machine Learning is that you can throw in whatever base metrics you want to for training as long as you've got a good ground truth data set of subjective ratings.
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Old Yesterday, 23:51   #9223  |  Link
benwaggoner
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Originally Posted by tormento View Post
Do you know some working Windows build?
I don't. It's not something I run locally. It gets done in the Cloud on Linux.
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