Here is my open standard video compression idea. Since with machine learning you can generate from recognition. I thought why not take advantage of this for media compression. It should work for all media and be useful for video or audio transmission. The idea is that you can generate each frame from “enough information”. That enough information is the small amount of information that is then transferred. Mathematically I think this could work if you split the enough information into two groups. One part is a traditional compressed video of much smaller size and resolution. The other part is the enough information needed to scale these low resolution frames to the higher resolution. The scaling is then done by generation or computer imagination as one can call it. It is the computer imagination that is trained. As with imagination in general you will get some information loss but errors will not be detectable.