On Jun 18, 2014 2:28 PM, "Brian Wolff" <bawolff(a)gmail.com> wrote:
On 6/18/14, Kristian Kankainen <kristian(a)eki.ee> wrote:
> Hello!
>
> I think, if one is clever enough, some categorization could be automated
> allready.
>
> Searching for pictures based on meta-data is called "Concept Based Image
> Retrieval", searching based on the machine vision recognized content of
> the image is called "Content Based Image Retrieval".
>
> What I understood of Lars' request, is an automated way of finding the
> "superfluous" concepts or meta-data for pictures based on their content.
> Of course recognizing an images content is very hard (and subjective),
> but I think it would be possible for many of these "superfluous"
> categories, such as "winter landscape", "summer beach" and
perhaps also
> "red flowers" and "bicycle".
>
> There exist today many open source "Content Based Image Retrieval"
> systems, that I understand basically works in the way that you give them
> a picture, and they find you the "matching" pictures accompanied with a
> score. Now suppose we show a picture with known content (pictures from
> Commons with good meta-data), then we could to a degree of trust find
> pictures with overlapping categories.
> I am not sure whether this kind of automated reverse meta-data labelling
> should be done for only one category per time, or if some kind of
> "category bundles" work better. Probably adjectives and items should be
> compounded (eg "red flowers").
>
> Relevant articles and links from Wikipedia:
> #
https://en.wikipedia.org/wiki/Image_retrieval
> #
https://en.wikipedia.org/wiki/Content-based_image_retrieval
> #
>
https://en.wikipedia.org/wiki/List_of_CBIR_engines#CBIR_research_projects.2…
>
> Best wishes
> Kristian Kankainen
>
> 18.06.2014 09:14, Pine W kirjutas:
>> Machine vision is definitely getting better with time. We have
>> computer-driven airplanes, computer-driven cars, and computer-driven
>> spacecraft. The computers need us less and less as hardware and
software
improve. I think it may be less than a decade before
machine vision is
good
enough to categorize most objects in photographs.
Pine
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Interesting. Some demo links that I found:
*
http://demo-itec.uni-klu.ac.at/liredemo/
Lire has been on my list of things to look at for a while now. Its nice
because it could integrate reasonably easily into cirrus because it is
built on lucene.
I can't promise anything quick but I'll look into the others as well.
Nik