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Topics - pixo

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The Visual Computing research group at HTW Berlin has released an update of its image search and exploration app. PicArrange 2.0 allows to view images from multiple folders. Opposed to Finder, additional sorting by content and color is possible. Large quantities of images can be viewed much faster. In addition to the visual image sorting mode, the app also offers a visual search that can be used to find images similar to one or more sample images.

There are many new features in the new version: Better image analysis, video support, new display modes, ...
Details can be found  in the AppStore:

A tutorial on how to use PicArrange can be found here:

All image analysis is done locally. No data is transfered to an external server.

Feedback is welcome.

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

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.

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

Software / visual image browsing
« on: June 26, 2015, 05:00 »
I wanted to let you know about a demo of a visual image browser that we have developed at HTW Berlin. As with Google Maps you can easily explore huge sets of images or search for particular images. Use your mouse to zoom and drag the map. Click an image to enlarge it.

Any comments are welcome. Please share picsbuffet if you like it.

This version uses over 1 million images from fotolia. Currently only the Chrome and Opera browser are supported. Future versions will support more and other images and other browsers as well.

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:

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. 

General Stock Discussion / (Semi-) Automatic keywording
« on: October 16, 2013, 14:44 »
Please check our prototype for semiautomatic keywording.

Just upload a thumbnail of your image and let the software propose keywords derived from similar looking images. In many cases little or no user interaction is needed if most of the visually similar images show the same content as the uploaded image. To get good keywords please read how to use it.

How to use it:
* If the keywords are fine you are done. Click finalize.
* If the visually similar images have different content you need to click the image that is most similar to your image.
* If none of the visually similar images matches, no image should be clicked. Please add the keyword(s) that best describe your image.

Please give it a try and let us know your opinion.
For further explanations click the help link on the page.

Sorry for crossposting (I have already mentioned this in an other post, but I think nobody did read it)

Off Topic / Gaming for science
« on: October 14, 2013, 17:22 »
I am writing you to ask you for a little support in an experiment for better determining perceived color differences.

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!

Hello everyone,

as we're constantly trying to improve image search experience, we have developed a new image search demo combining visual and keyword search.  I'd like to hear your opinion on the new way to search for images. (This demo uses 22 million images from fotolia, but could naturally be used with other images)

Search for something vague like "bird" and then move your mouse over a particular image to start a search for similar images. You can choose if you want to focus more on keywords or on visual similarity. 

Please let us know your feedback how to improve UX

Kai (from pixolution)

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