4 ms·
Not with modern codecs, but there's probably a random seed somewhere that'll get you close enough. Noise detection could be useful, if you can get noise that's
by yarg 4y ago
Not with modern codecs, but there's probably a random seed somewhere that'll get you close enough.
Noise detection could be useful, if you can get noise that's close enough, it'd be a more than adequate substitute.
It'd also be useful for rain, which video codecs also struggle with.
Another thing is, a lot of modern video was generated, and composited - why not have that reflected in the codec?
You could directly encode the elements as understanded by the process used to generate them, rather than attempting to reconstitute things from a stream of bitmaps.
- whalesalad 4y agowas just thinking of this - like vectors vs bitmaps - wonder when we will see video transmission enter that arena
- eru 4y ago> You could directly encode the elements as understanded by the process used to generate them, rather than attempting to reconstitute things from a stream of bitmaps. You might like Gan Theft Auto: https://www.youtube.com/watch?v=udPY5rQVoW0 https://www.youtube.com/watch?v=udPY5rQVoW0
- seanp2k2 4y agoThey could have bundled it into the app to save hella bandwidth, or done something similar to Samsung's awful generator that comes on when you select an input without a signal.
- upbeat_general 4y agoMy guess is because there’s a lot of ways of making things digitally and it’d need to be a really complex codec. On the other hand, deep-learning based compression with autoencoders or something similar is pretty promising, since it can learn the constituent elements in a more general way, independent of what program was used to create it.
- zbobet2012 4y agoThe process described uses a feature of AV1 to generate film grain based on parameters. Or exactly what you proposed.