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MAT 256 Visual Processes

Explore the convergence of signal processing and art, and the benefits each discipline can gain from the other. This lecture covers the main features of the course, scientific paradigms for artists, the role of the bricoleur/engineer, project topics, rules and methods, and evaluation. Examples of interesting results and online project documentation are also provided.

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MAT 256 Visual Processes

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  1. MAT 256 Visual Processes Lecture 2: Interdisciplinary Processes

  2. Main Features of the Course • Focus on basic methods of signal processing as source material for experimentation • MAT is about interdisciplinarity: hybridization through conversation • What can the engineer and artist gain from each other? • Both are exposed to paradigms outside of their disciplines • The engineer gains flexibility in experimentation • The artist learns the methods of systematic analysis

  3. Scientific Paradigms for the Artist • Scientific model to explore physical phenomena • Acquiring systematic scientific approach • Ability to transpose systems from the scientific to the artistic • Source-mining: In search of a new aesthetic

  4. Bricoleur/Engineer (Levi-Strauss) • Engineer: designs buildings which have to be stable and have little or no play • (the engineer has to create stable systems or his role is at stake) • Top-down implementation • Bricoleur: uses what's available to get a particular job done • (doesn't care about the purity or stability of the system s/he uses) • Building by trial and error rather than based on theory • Valueing tinkering as an inventive process • Evolve from the bottom-up

  5. Project Topics & Directions • Explore physical phenomena related to perception • Measuring signals and their expression • Noise & randomness • Translation between aural & visual signals

  6. Rules & Methods • Define a concept, a method, proceed, and evaluate results • May purely focus on process • Sequence step question-answer experimentation method • Not to illustrate, but to arrive at outcome that embodies and reflects an understanding • Allow phenomena to express itself • Simple methods can lead to complex result

  7. What are Interesting Results? • When the outcome challenges normal expectations • When the outcome is somehow greater then the input • When something is revealed • When phenomena can lead to poetics (Demarinis: fireflies, 1989) • When pheonmena can creat culture (Demarinis: raindance, 1998)

  8. Evaluation • The project can be open ended • The process must be documented • There must be some evolution from start to end • Online project documentation (http://bsjeon.net/TRRE/participate.htm)

  9. Examples • DeMarinis: green light, umbrella: http://www.well.com/%7Edemarini/ • Jeff Han: http://mrl.nyu.edu/~jhan/ (interesting problem of Artist/engineer) • marie sester: http://www.sester.net/index_enhanced.html • Ned Kahn: http://nedkahn.com/ • Luc Courschene: http://www.panoscope360.com/ • ACM multimedia conference CD: http://acmmm05.comp.nus.edu.sg/artprogram.htm

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