Could not the categories' language links be useful here? Otherwise
BabelNet[1] has set up different ways to connect concepts in different
languages into a semantic network. They call it a multilingual
encyclopedic dictionary and compile it by combining data from the
Wikipedia(s) and WordNet. It's quite clever but still easy.
This is still english-centric -- as in having english in the centre of a
hub-and-spoke modelled dictionary -- but it does make it _translatable_,
which I think is enough for this feature.
Kristian Kankainen
[1] http://babelnet.org/
18.06.2014 11:52, Gerard Meijssen kirjutas:
Hoi,
As long as our categories are English, they are useless for all of those
who do not speak English. Even so, as long as the current technology is
used for those categories it is a trial to find images at all. Many people
have given up.
Thanks,
GerardM
On 18 June 2014 09:12, Kristian Kankainen <krist...@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.2Fdemos.2Fopen_source_projects
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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