Funny, I did the same thing three years ago, using ImageSeek
http://www.imgseek.net/isk-daemon
I had a sample dataset of ~30000 images on the toolserver (deleted it
just a month ago to save space). Let me see if I can restore it. I had
some promising example queries. (remnants here:
http://toolserver.org/~dschwen/woodeye/imgseek01.html "Project
Woodeye", inspired by the then new "Tineye"...)
The problem with content based image search is the large amount of
computing resources it takes. The toolserver could not handle it. And
back then ImageSeek needed a cluster of computers to handle datasets
of the size of commons image base.
On Mon, Feb 20, 2012 at 4:11 PM, David Gerard <dgerard(a)gmail.com> wrote:
---------- Forwarded message ----------
From: Maarten Dammers <maarten(a)mdammers.nl>
Date: 20 February 2012 21:08
Subject: [Wikitech-l] Using computer vision to categorize images at Commons
To: wikitech-l(a)lists.wikimedia.org
Cc: pywikipedia-l(a)lists.wikimedia.org
Hi everyone,
Some time ago I played around with computer vision to get images
categorized on Commons. I documented this at
https://commons.wikimedia.org/wiki/User:Multichill/Using_OpenCV_to_categori…
. I don't think I'm going to spend time on it soon, but the results
were quite promising, so maybe someone else feels like working on
this? Would probably be a pretty nice student project or just fun to
do.
Maarten
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