vmaf

VMAF is super cool, although not the end-all-be-all of video quality measurement for sure. I'm currently evaluating switching over to the new v1.0 models. The (unsolicited) slop PRs on that repository are a sight to behold, though. The same slopper posted an aggressive response to my PR: https://github.com/Netflix/vmaf/pull/1586

I've been transcoding my media collection leaving my PC on overnight over months, it's great. My biggest issue is client support for native playback of AV1, naturally. For what it's worth, AB-AV1 [1] is a pretty awesome tool written in rust which compares random samples from a file at different parameters based on their VMAF score [2] (algorithm from Netflix for human-perceived visual likeness), choosing optimal parameters to save as much space as possible with the loss you're willing to stomach, on a file-by-file basis. Small plug: I made a nice little python GUI wrapper for ab-av1 [3]. [1] - https://github.com/alexheretic/ab-av1 [2] - https://github.com/Netflix/vmaf [3] - https://github.com/Loufe/AB-AV1-GUI

Netflix did VMAF for this: https://github.com/Netflix/vmaf It checks a reference video against an encoded video and returns a score representing how close the encoded video appears to the original from a human perspective.

I was like "wtf is vmaf?!" Turns out it's $NFLXs OSS automated encoding quality assessment tool. Pretty cool! https://github.com/Netflix/vmaf p.s. zanny, nice casual stealth drop you did there ;)

And the issue with that is that they're using PSNR and SSIM as quality metrics, which are useful for images, but haven't been designed for video, so they cannot take into account temporal factors and how motion masks distortion, etc. I think for AV1 they're using VMAF too, which is an actual video quality metric (https://github.com/Netflix/vmaf).

They lead in several areas such as video quality measurement (VMAF https://github.com/Netflix/vmaf), robustness (Chaos Monkey https://netflix.github.io/chaosmonkey/), video compression optimization (https://netflixtechblog.com/optimized-shot-based-encodes-for...) and probably more.