Explore large image collections with ImagePlot

Explore large image collections with ImagePlot from Flowing Data.

From the post:

When we make charts and graphs, we usually think of the data abstractions in terms of bars, dots, and other geometric shapes. ImagePlot, from UCSD-based Software Studies, instead makes it easier to use images to understand large collections.

Existing visualization tools show data as points, lines, and bars. ImagePlot’s visualizations shows the actual images in your collection. The images can be scaled to any size and organized in any order – according to their dates, content, visual characteristics, etc. Because digital video is just a set of individual still images, you can also use ImagePlot to explore patterns in films, animations, video games, and any other moving image data.

You can do this with other software (like R, for example), but ImagePlot is specifically built to handle lots of images (in the millions) and so it is much more robust, and it’s GUI-based, so no programming is required to use the software, which works on Windows, OS X, and Linux. The interface is pretty basic and not totally clear at first, but play around with the sample datasets and you should be able to pick it up fairly quickly.

The example I found particularly interesting was plotting Van Gogh painting by date on one axis and color on another.

A great deal of potential for exploring image collections from a variety of sources.

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