On 9/23/07, Matt Mahoney <[EMAIL PROTECTED]> wrote:
> I realize that a language model must encode both the meaning of a text string
> and its representation.  This makes lossless compression an inappropriate test
> for evaluating models of visual or auditory perception.  The tiny amount of
> relevant information in a picture would be overwhelmed by incompressible pixel
> noise.

I don't think that's a showstopper. Clearly the entropy of video is
higher, as a percentage of the uncompressed file size, than is the
case for text, but tests are relative. Suppose the best lossless video
compression achieved at a given time is only 10% (though I think we
could do better than this). A program that improved this to 11% would
still be measurably, objectively better than the competition.

There is also the consideration that text compression is of no real
value, because frankly text is already small enough that it doesn't
need to be compressed. Better lossless image and video compression, on
the other hand, apart from being of more potential relevance to AI
would also be of value in its own right - there are a lot of
situations where it would be better to not have to throw away any of
the information.

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