Shawn, I have done some research into this, machine-vision especially on a large scale is a hard problem, not to be entered into lightly. I would recommend starting with OpenCV - a comprehensive toolkit for extracting various features such as Color, Edge etc from images. Also there is a project LIRE http://www.semanticmetadata.net/lire/ which attempts to do something along what you are thinking of. Not sure how well it works.
HTH, Shashi On Wed, Sep 15, 2010 at 10:59 AM, Shawn Heisey <s...@elyograg.org> wrote: > My index consists of metadata for a collection of 45 million objects, most > of which are digital images. The executives have fallen in love with > Google's color image search. Here's a search for "flower" with a red color > filter: > > http://www.google.com/images?q=flower&tbs=isch:1,ic:specific,isc:red > > I am interested in duplicating this. Can this group of fine people point me > in the right direction? I don't want anyone to do it for me, just help me > find software and/or algorithms that can extract the color information, then > find a way to get Solr to index and search it. > > Thanks, > Shawn > >
