http://de.evo-art.org/index.php?action=history&feed=atom&title=SBArt4_as_Automatic_Art_and_Live_Performance_Tool 2026-05-03T22:49:34Z Versionsgeschichte dieser Seite in de_evolutionary_art_org MediaWiki 1.27.4 http://de.evo-art.org/index.php?title=SBArt4_as_Automatic_Art_and_Live_Performance_Tool&diff=2143&oldid=prev 2014-12-08T17:40:23Z

<p>Die Seite wurde neu angelegt: „== Reference == Tatsuo Unemi: SBArt4 as Automatic Art and Live Performance Tool. In: <a href="/index.php?title=Generative_Art_2011" title="Generative Art 2011">Generative Art 2011</a>, 436-447. == DOI == == Abstract == SBArt4 is or…“</p> <p><b>Neue Seite</b></p><div>== Reference ==<br /> Tatsuo Unemi: SBArt4 as Automatic Art and Live Performance Tool. In: [[Generative Art 2011]], 436-447. <br /> <br /> == DOI ==<br /> <br /> == Abstract ==<br /> SBArt4 is originally a breeding tool to produce abstract images and<br /> animations [1]. This paper describes a newly implemented functionality<br /> of automated evolution using some types of computational aesthetic<br /> measures as fitness criteria. Measures include information complexity,<br /> global contrast factor, histogram of color distribution, and so on. In<br /> addition to these measures for a still image, a method to evaluate the<br /> motion was introduced. They are useful to discard boring pieces but do<br /> not always fit with human user’s preference.<br /> <br /> I introduced graphical user interface to allow the user to adjust the<br /> balance among different measures, and provided methods to let<br /> individuals migrate between a field for breeding and a population for<br /> evolution. It realized a wide range of intermediate production style<br /> between pure breeding and fully automated evolution.<br /> <br /> Utilizing parallel processing, efficient algorithms, and synchronized<br /> sound effects, a new generative style of both live performance and fully<br /> automatic art became possible to be realized.<br /> <br /> == Extended Abstract ==<br /> <br /> == Bibtex == <br /> <br /> == Used References ==<br /> [1] T. Unemi, SBART 2.4: an IEC Tool for Creating 2D Images, Movies, and Collage,<br /> Leonardo, Vol. 35, No. 2, pp. 171, 189-191, MIT Press, 2002.<br /> <br /> [2] H. Takagi, Interactive Evolutionary Computation: Fusion of the Capabilities of EC<br /> Optimization and Human Evaluation, Proceedings of the IEEE, Vol. 89, No. 9, pp.<br /> 1275-1296, 2001.<br /> <br /> [3] T. Unemi, SBArt4 - Breeding Abstract Animations in Real time, Proceedings of the<br /> Conference on Evolutionary Computation 2010, pp. 4004-4009, Barcelona, Spain,<br /> 2010.<br /> <br /> [4] L. Neumann, M. Sbert, B. Gooch and W. Purgathofer (Eds.):. Computational<br /> Aesthetics 2005: Eurographics Workshop on Computational Aesthetics in<br /> Graphics, Visualization and Imaging, May 2005.<br /> <br /> [5] K. Sims: Artificial Evolution for Computer Graphics, Computer Graphics, Vol. 25,<br /> pp. 319-328, 1991.<br /> <br /> [6] P. Machado and A. Cardoso: All the Truth about NEvAr, Applied Intelligence, Vol.<br /> 16, pp. 101-118, 2002.<br /> <br /> [7] J. Rigau and M. Feixas and M. Sbert: Informational Aesthetics Measures, IEEE<br /> Computer Graphics and Applications, Vol. 28, No. 2, pp. 24-34, 2008.<br /> <br /> [8] E. den Heijer and A. E. Eiden: Using Aesthetic Measures to Evolve Art,<br /> Proceedings of the Conference on Evolutionary Computation 2010, pp. 4533-<br /> 4540, Barcelona, Spain, 2010.<br /> <br /> [9] K. Matkovic and L. Neumann and A. Neumann and T. Psik and W. Purgathofer:<br /> Global Contrast Factor - a New Approach to Image Contrast, Computational<br /> Aesthetics 2005, pp. 159-168, 2005.<br /> <br /> [10] J.-M. Jolion: Images and Benford&#039;s Law, Journal of Mathematical Imaging and<br /> Vision, Vol. 14, No. 1, pp. 73-81, 2001.<br /> <br /> [11] G. K. Zipf: Human behavior and the principle of least effort - an introduction to<br /> human ecology, Hafner Pub. Co., New York, 1949.<br /> <br /> [12] H. Satoh and I. Ono and S. Kobayashi: A New Generation Alternation Model of<br /> Genetic Algorithms and Its Assessment, Journal of Japanese Society for Artificial<br /> Intelligence, Vol. 12, No. 5, pp. 734-744, 1997 (in Japanese).<br /> <br /> [13] T. Unemi: A Design of Multi-Field User Interface for Simulated Breeding, in<br /> Proceedings of the third Asian Fuzzy Systems Symposium, Masan, Korea, pp.<br /> 489-494, 1998.<br /> <br /> <br /> == Links ==<br /> === Full Text === <br /> http://www.generativeart.com/GA2011/tatsuo.pdf <br /> <br /> [[intern file]]<br /> <br /> === Sonstige Links ===</div>

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