I have no time but for brainstorming and such kind of advicing/helping, if any volunteers would need this kind of help.
Kristian
18.06.2014 10:20, Pine W kirjutas:
That sounds like a good idea for an experiment. Any volunteers?
Pine
On Wed, Jun 18, 2014 at 12:12 AM, Kristian Kankainen kristian@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.
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