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[physicspost.com...]
Now, throw out your wild ideas
Some of what he says sounds a little far-fetched yet I believe part of it is reachable sometime in the future.
There is already software out there or being further developed to detect images with large amounts of skin tones to help determine if they are adult in nature.
Who knows what else is currently out there or being developed, especially by government agencies. For example, the National Security Agency had a patent issued this year on a method of extracting text present in a color image [patft.uspto.gov]
I can't see why a search engine should not be able to program ways to detect horizons, buildings, nature, maps, abstract etc. and try to find similar matches based on an image you input into the system. For example, you scan in a colored image of a snow-capped mountain with clear sky all around, then the system outputs a load of similar images. Mix in some user input and AI and after a while patterns match to where text classification can be tagged to the images that have similar color schemes. Of course there will be many flaws that will take time to weed out, but at least something of this sort can narrow down items on a grand scale, yet at the same time not displaying good choices that were mistakenly mis-matched.
Now I think what we'd all like to see is a search system where you can hum or mumble that tune you heard somewhere yet don't know the lyrics, band, or song title. :)