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Regarding actual input and output, I assume that’s relatively easy with ffmpeg.

As for results, the challenge might be keeping the illusion of movement from frame to frame.

It’s likely small changes to the input image result in largely different positioning of the shapes. When watched as a movie, this wouldn’t result in a fluid motion.

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With the way this optimizes it would produce crap, even if using the same seed frame to frame. One very interesting prospect is in taking the motion vectors out of the video and applying them to overlapping primitives in the shape data form as a first step to apply when fitting the shapes, that is to do this greedy hill climb in tandem with mpeg motion decoding. Maybe it wouldn't be too hard but it's not something I've got the motivation to try out and tweak right now

And more on this, maybe seeding the next frame to favor the motion vectors mutation of the shape before this libraries random seed mutation

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