Re: 1.01 billion images in 0.632 seconds?
- From: BootNic <bootnic.bounce@xxxxxxxxx>
- Date: Sat, 14 Feb 2009 11:52:51 -0500
On Sat, 14 Feb 2009 05:17:10 -0500
Sherm Pendley <spamtrap@xxxxxxxxxxx> wrote in:
<m1ljs9wcex.fsf@xxxxxxxxxxx>
dorayme <doraymeRidThis@xxxxxxxxxxxxxxx> writes:
http://tineye.com/ claims to have searched 1.01 billion images
in 0.632 seconds? to find three or four pics out there that are
identical to one on my hard disk (yes, I pinched a small Roger
Rabbit one ages ago ...). Should this be believed?
To find one that's *identical*, down to every single pixel? Yeah,
that's believeable. They could calculate a hash value for each
image as its being added to their database. When you upload your
own image, they'd calculate its hash value. Getting a list of
images with the same hash value as yours would then be a simple
query on an indexed integer column - very, very fast for modern
databases.
I can't imagine them doing any more complicated matching in
that kind of time though - no face matching, color space
conversion, fuzzy matching, none of that sort of thing.
I have no ideal how it's done, how many images it checked, but it is
very quick.
[url]
http://tineye.com/search/efec127c48945335a83a88a3f6acf127e2ad7896
[/url]
The above example appeared to take longer to upload the image then it
did to return the results.
As I think you will see, the matches are not matches, but they are
similar in part.
I find it interesting. Very nice find.
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