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DATAFOLDING: PATTERN BASED DATABENDING
Decades ago, the popularization of computers gave us a new way of thinking about visual music. For the first time, John Whitney’s vision of having “a fine art for eye and ear” seemed possible, at least technically. Computers would have enabled us to create a direct indexical relationship between image and sound (as opposed to indirect, such as audio-reactiveness). Although the idea of a direct, unmediated relationship between image and sound has given way to other, more symbolic forms of music visualization, databending as a method/technique has proven that this relationship is inherent to digital files.
In this talk/demo, I introduce and demonstrate a technique called datafolding. This technique, derived from databending and the product of explorations of the common mathematical patterns between the visual and aural representations of the raw data, attempts to make it possible for creators to “draw” sound artifacts and to “compose” image artifacts.
Ernesto Peña [CA]
I am a designer, researcher and educator. I am an associate teaching professor of design at the College of Art, Media and Design, Northeastern University, Vancouver Campus. My research interests include the glitch as a pedagogical tool and transmediation, with a particular interest in emergent phenomena from raw data transmediation.
