A data-flow network-based interactive evolutionary design framework is presented which will provide a testbed for the development and exploration of a diverse range of visual artistic design spaces. The domain of real-time layered video filters is focused on as the primary example. The system supports both real-time video streams and prerecorded video. Issues of stylistic signature, GA vs. GP-based approaches, rapid tuning of fitness distributions, and desirable traits of generic evolutionary design systems are discussed. © Springer-Verlag 2004.
CITATION STYLE
Lewis, M. (2004). Aesthetic video filter evolution in an interactive real-time framework. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3005, 409–418. https://doi.org/10.1007/978-3-540-24653-4_42
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