Not exactly sure how one would put context of what object is more dominant
than other.
Think of landscape with snow, green mountains and set of flowers of varied
colors including a rose
On Fri, Sep 17, 2010 at 8:43 PM, Shashi Kant sk...@sloan.mit.edu wrote:
What I am envisioning (at
Subject: Re: Color search for images
To: solr-user@lucene.apache.org
Date: Thursday, September 16, 2010, 7:58 PM
On 9/16/2010 7:45 AM, Shashi Kant
wrote:
Lire is a nascent effort and based on a cursory
overview a while back,
IMHO was an over-simplified version of what a CBIR
engine should
What I am envisioning (at least to start) is have all this add two fields in
the index. One would be for color information for the color similarity
search. The other would be a simple multivalued text field that we put
keywords into based on what OpenCV can detect about the image. If it
do you mean content based image retrieval or just search images by tag?
if the former, you can try LIRE
2010/9/15 Shawn Heisey s...@elyograg.org:
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
Yes, notice the flowers are all a medium-dark crimson red. There are a
bunch of these image-indexing search technologies, but there is no (to
my knowledge) finished technology- it's very much an area of research.
If you want to search the word 'flower' and index data that can find
blobs of
On 9/15/2010 10:50 AM, Shashi Kant wrote:
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,
Lire looks promising, but how hard is it to integrate the content-based
search into Solr as opposed to Lucene? I myself am not a Java developer. I
have access to people who are, but their time is scarce.
Lire is a nascent effort and based on a cursory overview a while back,
IMHO was an
EARTH has a Right To Life,
otherwise we all die.
Read 'Hot, Flat, and Crowded'
Laugh at http://www.yert.com/film.php
--- On Wed, 9/15/10, Shashi Kant sk...@sloan.mit.edu wrote:
From: Shashi Kant sk...@sloan.mit.edu
Subject: Re: Color search for images
To: solr-user@lucene.apache.org
:
From: Shashi Kant sk...@sloan.mit.edu
Subject: Re: Color search for images
To: solr-user@lucene.apache.org
Date: Thursday, September 16, 2010, 6:36 AM
On Thu, Sep 16, 2010 at 3:21 AM,
Lance Norskog goks...@gmail.com
wrote:
Yes, notice the flowers are all a medium-dark crimson
red
On 9/16/2010 7:45 AM, Shashi Kant wrote:
Lire is a nascent effort and based on a cursory overview a while back,
IMHO was an over-simplified version of what a CBIR engine should be.
They use CEDD (color edge descriptors).
Wouldn't work for the kind of applications I am working on - which
needs
On Sep 15, 2010, at 7:59am, Shawn Heisey 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:
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
On a related note, I'm curious if anyone has run across a good set of
algorithms (or hopefully a library) for doing naive image
classification. I'm looking for something that can classify images
into something similar to the broad categories that Google image
search has (Face, Photo, Clip
'Hot, Flat, and Crowded'
Laugh at http://www.yert.com/film.php
--- On Wed, 9/15/10, Ken Krugler kkrugler_li...@transpac.com wrote:
From: Ken Krugler kkrugler_li...@transpac.com
Subject: Re: Color search for images
To: solr-user@lucene.apache.org
Date: Wednesday, September 15, 2010, 9:41 AM
I'm sure there's some post doctoral types who could get a graphic shape
analyzer, color analyzer, to at least say it's a flower.
However, even Google would have to build new datacenters to have the
horsepower to do that kind of graphic processing.
Not necessarily true. Like.com - which
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