Casey Reas

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Casey Reas Casey Reas writes software to explore conditional systems as art. He is a professor at the University of California, Los Angeles and holds a masters degree from the Massachusetts Institute of Technology in Media Arts and Sciences as well as a bachelors degree from the School of Design, Architecture, Art, and Planning at the University of Cincinnati. With Ben Fry, Reas initiated Processing in 2001. Processing is an open source programming language and environment for the visual arts. Reas' work is in a range of private and public collections, including the Centre Georges Pompidou and the Victoria and Albert Museum.

On Air: Casey Reas - 100% Gray Coverage

Casey Reas’ 10 minutes digital video piece 100% Gray Coverage was derived from Reas’ work Signal to Noise. The latter is a so-called collage engine, a programme that uses terrestrial television signals as raw material and transcribes them into visual footage. Reas: “Like early twentieth-century collages built from the media of that time, and (comparable to) mid 20th century video collage, Signal to Noise fractures and distorts contemporary information into new data structure”. For 100% Gray Coverage, Reas developed a newer more evolved collage engine to create imagery: the video is completely abstract and moves at a rapid pace. 100% Gray Coverage visually combines a familiar aesthetic of the modern age - television and the disruption or flicker of distorted signals or channels changed at high speeds - and contemporary computer generated animation. -> Homepage of the Artist: reas.com -> Casey Reas on Wikipedia From the Sedition Selection