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Originally Posted by Iron_Mike
well "joe public" ultimately watches the content... I can tell the diff between CRF 10 and CRF 18 (frame per frame pixel peeping), but I also evaluate content on fully calibrated screens...
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It's an assumption . Audience might videophiles, or doom9ers, or you might be doing these tests for you
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problem is w/ "scientific metrics" is that they often not relate a lot to the HVS (Human Vision System), which is the only thing that matters when humans watch the streamed content...
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Yes, pros/cons to every measure , but there are other HVS modelled metrics.
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VMAF attempts to address that with their sample data... question always are if enough people were sampled, what kind of people (gender/age/race/ethicity - diff between European and Asian samples etc) and the sample procedure was done as best as possible...
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It's just that the RD curve characteristics limit VMAF's usefulness in some situations , since it's trained on higher CRF ranges.
So another way to phrase it - is the data set is not valid at higher bitrates. You cannot apply VMAF at higher bitrates because it was trained at CRF 22-28