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Extreme video compression with prediction using pre-trainded diffusion models

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Re: Extreme video compression with prediction using pre-trainded diffusion models

#51
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

In what sense? How about reproducibility? Is stored memory, the connection between the prompt and the exact output, really compression or simply a retrieval of a compressed file then stored as factual knowledge ingrained in its Neural Network?

I like your sentiment, it is technically inspiring.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#52

Earlier quoted context omitted.

I can show you an algorithm that compresses an entire 2 hour movie to a single bit, but it only works on one movie.

Ah I got it to work for two movies :)

You just made disco stu very happy, if these trends continue- 'Ey!

Re: Extreme video compression with prediction using pre-trainded diffusion models

#53
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

In what sense? How about reproducibility? Is stored memory, the connection between the prompt and the exact output, really compression or simply a retrieval of a compressed file then stored as factual knowledge ingrained in its Neural Network? I like your sentiment, it is technically inspiring.

Given the same prompt and the same seed (and algorithm) the resulting movie/output will always be the same. This is the case for AI image generation now.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#54
Back in 2005 there was a collegue at my first job writing video format converters software. He was considered a genius and the stereo type of an introvert software developer. He claimed that one day an entire movie could be compressesed on a single floppydisk. Everybody laughed and thought he was weird. He might be right after all.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#56
post #21
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

Where’s that quote? Something like “AI is just compression, and compression is indistinguishable from AI”

> AI is just compression, and compression is indistinguishable from AI

Almost. Compression and AI both revolve around information processing, but their core objectives diverge. Compression is focused on efficient representation, while AI is built for flexibility and the ability to navigate the unpredictable aspects of real-world data.

Compression learns a representation from the same data it encodes, like "testing on the training set". AI models have different training and test data. There are no surprises in compression.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#57

Here's the research behind this: https://arxiv.org/html/2402.08934v1 As a casual non-scholar, non-AI person trying to parse this though, it's infuriatingly convoluted. I was expecting a table of "given source file X, we got file size Y with quality loss Z", but while quality (SSIM/LPIPS) is compared to standard codecs like H.264, for the life of me I can't find any measure of how efficient the compression is here. Ap…

It turns out that compression, especially for media platform, is trading off file size, quality, and compute. (And typically we care more about compute for decoding.) This is hard to represent in a two dimensional chart.

Furthermore, it's pretty common in compression research to focus on the size/quality trade-off, and leave optimization of compute for real-world implementations.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#59

Back in 2005 there was a collegue at my first job writing video format converters software. He was considered a genius and the stereo type of an introvert software developer. He claimed that one day an entire movie could be compressesed on a single floppydisk. Everybody laughed and thought he was weird. He might be right after all.

I used to work with a guy like that in 1997, during the bubble, Higgins was his name. He'd claim you could fit every movie ever onto a CD-ROM, at least one day in the future it would be possible. Higgins was weird. I can still recall old Higgins getting out every morning and nailing a fresh load of tadpoles to that old board of his. Then he'd spin it round and round, like a wheel of fortune, and no matter where it stopped he'd yell out, "Tadpoles! Tadpoles is a winner!" We all thought he was crazy but then we had some growing up to do.

Re: Extreme video compression with prediction using pre-trainded diffusion models

#60
post #6

Extreme compression will be when you put in a movie and get a SORA prompt back that regenerates something close enough to the movie.

The compression competitions include the decompression program size in the size of the output. Must be a large series of movies compressed to win, then.
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