• 48 Posts
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Joined 3 年前
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Cake day: 2023年8月15日

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  • Google actually already has a system to automatically detect and filter incoming nude pictures. It allows apps to blur then and you can then opt to view them. It’s a separate application and uses locally running machine learning.

    I can’t remember the name of it and if it’s just on Pixels, nor what applications it works with. Might just be for their own messaging apps or it might be more deeply integrated. If anyone is curious I’ll try to look it up after work.

    The point is they already have something similar to this they could maybe leverage.


  • To avoid you all a trip to reddit:

    You’re right to raise this, and we want to address it directly and provide you important context on how this happened.

    Vincent Lapierre’s channel should never have been part of our affiliate and sponsorship program, because we intentionally avoid association with channels whose content could distract from our message and divide our community.

    Proton operates globally, and while our services are available to everyone regardless of political views and our mission is consistent everywhere, our knowledge of every local media landscape is not. In this case, our team didn’t have enough context about the French space to make a well-informed decision, and that’s on us.

    We also want to be straight about what a placement like this is and isn’t. An affiliate or sponsorship arrangement is a transactional placement for awareness, not an endorsement of a creator’s views. In the case of Vincent Lapierre, this was a single video sponsorship, not a partnership.

    But that distinction doesn’t excuse what happened here. The responsibility to vet who we put our name next to is ours, and we didn’t meet it this time. We’re now reviewing our vetting process and our guidelines for our marketing agencies to ensure this doesn’t happen again.

    If you see something like this again, tell us. We rely on your feedback and vigilance.



  • I’ve just discovered another use for grain synthesis:

    Adding grain using to DVD movies with badly compressed grain.

    I just bought Breakfast at Tiffany’s on DVD and despite it being a 60s movie that should have had clean grain, it has very little and what is there looks bad because of mediocre DVD compression. You end up with some minor but distracting compression artifacts and static grain. By adding a little grain synthesis, you end up with an appearance that strangely seems more authentic and hides compression artifacts.

    Here are the results. I’ve added clips wit 0-36 strength grain synthesis strength, and I personally think 24 looks pretty good.

    video-compare screenshot of grain 24 vs 0











  • Yeah as a result of this post I decided to look into AV1 grain synthesis again. That’s the only way I can see that AV1 can meaningfully “improve” over h265 right now for noisy content like movies, which is what enthusiasts care about.

    Grain synthesis is where you analyze noise on the original file, denoise the video stream and reapply artificial noise of a similar style as the original at decode time.

    It relies on a lot of assumptions:

    • The denoise doesn’t kill your quality
    • The grain synthesis looks convincingly like real film grain.
    • decoding devices will support rendering the grain

    From a short experiment, I found that VLC was able to render the synthetic grain, but MPV(.net) did not out of the box. I had to play around with gpu rendering modes to get it to work.

    As for transcoding, it’s unclear what happens to the synthetic grain, whether it is burnt in or simply ignored. At least one or two people have reported it will just be ignored and you’ll get a weirdly smooth movie.


  • Typical end users do not. Companies do because it will save them money.

    Enthusiasts will care because it could save them storage space for equivalent quality, though if the cost of encoding is so high then just in terms of energy costs you may save money just going for a cheaper codec and upgrading storage with the saved money.