this post was submitted on 18 Aug 2023
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[โ€“] [email protected] 8 points 1 year ago* (last edited 1 year ago) (2 children)

It is not that complicated, to make a simple example with strings: AAAABBBABABAB takes up 13 spaces, but write (compress) it like 4A3B3AB take up 6 spaces compressing it more than 50%.

Now double it like AAAABBBABABABAAAABBBABABAB with 26 spaces and write it as 2(4A3B3AB) with 9 spaces it takes only 30% of the space.

Compression algorithms just look for those repetitive spaces.

Takes those letters and imagine them being colored pixels of a picture to compress a picture

[โ€“] [email protected] 7 points 1 year ago

Once you get into audio, images and video it revolves a lot around converting temporal and/or positional data into the frequency domain rather than simple token replacement.

[โ€“] [email protected] 2 points 1 year ago (1 children)

Wait, isn't your first example goes from 13 spaces binary to a 6 spaces of base 12 (base 10 + the two values A or B).

That would make the "compressed" result be 110111010111011101110011 which is larger than the original message when both are in binary...

[โ€“] [email protected] 2 points 1 year ago (1 children)

Don't overthink my example, it was just a representation

[โ€“] [email protected] 2 points 1 year ago

Fair enough. The general idea is correct, I just found that example rather jarring... It is generally more difficult to compress an already small amount of data anyway.