Centripetal Notion

Or as Matthew Oliphant calls it, “colorizing images and movies with squiggles”. Students at The Hebrew University of Jerusalem’s Rachel and Selim Benin School of Computer Science and Engineering (HUJ-RSBSCSE for short I guess?, just rolls off the tounge) have devised a way to add simple marks to areas of an image or video you want colored, and process it through MATLAB software getting some pretty remarkable results.

Check their paper, which was presented at SIGGRAPH 2004, for more info and examples at the link below.

Colorization is a computer-assisted process of adding color to a monochrome image or movie. The process typically involves segmenting images into regions and tracking these regions across image sequences. Neither of these tasks can be performed reliably in practice; consequently, colorization requires considerable user intervention and remains a tedious, time-consuming, and expensive task.

In this paper we present a simple colorization method that requires neither precise image segmentation, nor accurate region tracking. Our method is based on a simple premise: neighboring pixels in space-time that have similar intensities should have similar colors. We formalize this premise using a quadratic cost function and obtain an optimization problem that can be solved efficiently using standard techniques. In our approach an artist only needs to annotate the image with a few color scribbles, and the indicated colors are automatically propagated in both space and time to produce a fully colorized image or sequence. We demonstrate that high quality colorizations of stills and movie clips may be obtained from a relatively modest amount of user input.

ARTICLE/IMAGES/VIDEO [original paper, media] (via usabilityworks.org)

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