--- Mike Dougherty <[EMAIL PROTECTED]> wrote: > On 10/3/07, Matt Mahoney <[EMAIL PROTECTED]> wrote: > > The higher levels detect complex objects like airplanes or printed words > or > > faces. We could (lossily) compress images much smaller if we knew how to > > recognize these features. The idea would be to compress a movie to a > written > > script, then have the decompressor reconstruct the movie. The > reconstructed > > movie would be different, but not in a way that anyone would notice, in > the > > same way that pairs of images such as > > http://www.slylockfox.com/arcade/6diff/index.html would have the same > > compressed representations. > > Is this because we use a knowledgebase of classes for things like > "airplane" that can be used to fill in the details that are lost > during compression?
Yes. > Can that KB be seeded, or must it be experientially evolved from a > more primitive precept? Consider how little useful skill a human baby > has compared to other animals. Perhaps thats the trade-off for a high > potential general intelligence, there must be a lot of faltering and > (semi-) useless motion while learning the basics. It seems that a baby is born knowing very little, compared to an antelope born already knowing how to run, or a spider born knowing how to weave a web. But I would not discount the possibility that a baby is born already knowing a very complex algorithm for learning. I think with a better understanding of this algorithm, that a visual perception knowledge base can be trained in a hierarchical manner, building from simple visual patterns to more abstract concepts. Just not on a PC. An adult level human visual perception system is trained on 20 years of video, or about 10^16 bits of DVD quality MPEG-2. This is 10^6 times more data than 20 years worth of text, even though the perceptible information content is about the same. Curiously, there is also a 10^6 gap between the cognitive model of long term memory (10^9 bits) and the number of synapses in the brain (10^15). -- Matt Mahoney, [EMAIL PROTECTED] ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=8660244&id_secret=49522822-41ce42
