“Mo Money Mo Problems” is a collection of images that are generated by evaluating and interpreting the 1997 music video with the same title, originating from the first disc of the Notorious B.I.G. album, Life After Death.

The software detects edges in the image and attempts to trace motion happening from frame to frame. The output is rendered as a vector image, with curves representing the traced motion patterns. The points represent the pixels detected in the edge, with their size determined by the distance from their previous location: the further away, the larger their size. The color of the points is determined by the color of that pixel in that frame. The bright colored track suits worn by Puff Daddy and Mase in the dark backgrounds make for good tracking and nice color combinations.

One can check out some more renderings in the Mo Money Mo Problems photoset on flickr, or watch the original music video. (via Artistically Interpreting the “Mo Money Mo Problems” Music Video - information aesthetics)

STEP BY STEP Typeface by Short on Behance. (via benjaminf)

Simple fun with colored liquid and a macro-level photocam has “Corrie White“. Her flickr-collection of liquid-drops look like alien landscapes and somehow they are. He uses water, milk and food-color. (via Macro-level water-drop photography | Digital Tools)

With a diverse range of work, Paul Cayrol’s portfolio is a mixed bag of goodies. (via motionographer)

Processing visualization head Jer Thorp is putting his money where his mouth and publishing 7 pieces of code in 7 days, free to download and experiment with. Judging from the three that he’s released so far they’re not your standard 20-minute sketches either:

1. GoodMorning! is a Twitter vizualization, showing users around the world popping up on a globe as they utter the magic words “good morning”. With a little geocoding and spherical mapping thrown in, this is a sweet sketch
2. NY Times: 365/360 uses the New York Times open data API to retrieve news stories for an entire year and draw connections between them. The results combine complexity with elegance for that true infoporn look.
3. tree.growth revisits that old classic, the L-system tree. Thorp uses colors and abstract “leaves” to great effect.

With such a strong start, one certainly looks forward to seeing the next four sketches to come. It’s not so common to find sketches of this complexity freely available, so they’re a great study for users who are on the threshold of making more complex applications.

(via Code & form » Jer Thorp’s 7 Days of Code)

Elevation is a free, open source route visualizer that renders GPS data in 3D space, built in Processing by Dave Shea. You’ll need to have a GPS-equipped phone or device capable of tracking your activity as you run, hike, cycle, skate, ski, snowboard, or whatever other physical activity you choose to map. You’ll also need the ability to export that data as XML, in either GPX or KML format. (If you have files in just about any another format, you can probably use GPSBabel to convert them to GPX files and get them working with Elevation. (via ltg)