We are a visual computing research group of HTW Berlin Germany (University of applied sciences).
Some of you might know Imagesorter, pixolu, our previous app visolu or www.picsbuffet.com

I wanted to let you know about a free visual image browser app that we have developed for the iPhone/iPad.
As with mapping systems you can easily explore huge sets of personal photos or search for similar photos.
https://itunes.apple.com/app/kiano/id1413833786?mt=8

It would be great if you could let other people know about the �Kiano� app or even write about it if you have a blog. I think it might be exciting for your readers, as there are no other comparable apps yet. At the moment there are no non-german sites that have reported about it, so the topic is still very new.

Best regards,
Kai Barthel

Finding images by keywords is difficult. Keywords often are incomplete or overloaded and might suffer from translation errors. Visual image search finds similar looking images without understanding the meaning. Therefore it will often find similar looking images showing different things.
To deal with this problem we have developed a new approach combining visual and keyword search: 
http://fusion.pixolution.de/

How to use it: Start your search by typing a keyword at the top of the page. Then move your mouse over an image you like to start a similarity search. You can focus more on keywords (the meaning) or on visual similarity. Here are three possible results searching for dandelion images:



I'd like to hear your opinion on this new way to search for images.

P.S.: I discovered the Microstock Group forum only recently and as a newbie I have posted a similar topic in the Newbie Discussion, which does not seem to read by too many people. So sorry for crossposting. 

I am writing you to ask you for a little support in an experiment for better determining perceived color differences.
http://colors.htw-berlin.de/

The exact determination of perceived color differences is very difficult. Typically, color differences are calculated from color coordinates using special metrics (like CIE2000). Unfortunately, these distance measures do not always coincide with the perceived differences. We at HTW Berlin have designed an experiment with which we try to model better color metrics. The basic idea is to present color triplets and let people decide which of two colors is more similar to a reference color. Unfortunately the number of experiments is extremely high and the individual tests are rather "boring". To address this problem, we have designed a game, in which the players provide information about the perceived color differences.

It would be of great help if you could play our game for a little while and/or let other people know about it.

Thank you very much!