austinio7116 wrote:
Neural networks of this type are being used by the Facebooks and Twitters of the world to use super resolution for video compression.
That is correct, but that is being done with, for the most part, digital video. What I'm referring to is importing video off of VCR tape, converting it to digital, then upscaling it while it's being processed. There is so much analog video that needs to be digitally converted for both delivery, editing and in some ways most importantly for archiving purposes.
I've worked with & have converted thousands upon thousands of hours of video for over 2 decades in my field of video editing in which it was a small part of what I did in creating multi media content for delivery on different mediums, now mostly delivered via streaming as opposed to the old ways of DVD/Blue-ray platforms.
Any upscaling that is used is done so on a frame by frame basis, which is an extremely time extensive process which thus cost a lot of money to do, and the computing power necessary to do this pushes the hardware to its limits to accomplish this. It's much better today then say 10 years ago because the power on top of the line desktop workstations is much more now then it was then.
The same comparison to this is how animation or special effects rendering is done in the same frame by frame method which also takes a lot of both time & processing power to achieve.
What I see of the results you are getting is to me very inspiring and I, being a retired multi media content creator find, as a certain Vulcan science officer would say, "Fascinating"!