A Fully Automatic Evolutionary Art
Inhaltsverzeichnis
Reference
Tatsuo Unemi: A Fully Automatic Evolutionary Art. In: Computational Creativity 2013 ICCC 2013, 228.
DOI
Abstract
This is a project of an automatic art that the computer autonomously produces animations of a type of abstract im- ages. Figure 1 is a typical frame image of an animation. A custom software, SBArt4 version 3, developed by the au- thor is tanking a main role of the work, that based on a ge- netic algorithm utilizing computational aesthetic measures as fitness function (Unemi 2012a). The fitness value is a weighted geometric mean of measures including complex- ity, global contrast factor, distribution of color values, dis- tribution of edge angles, difference of color values between consecutive frame images, and so on. ...
Extended Abstract
Bibtex
@inproceedings{ author = {Tatsuo Unemi}, title = {A Fully Automatic Evolutionary Art}, editor = {Simon Colton, Dan Ventura, Nada Lavrac, Michael Cook}, booktitle = {Proceedings of the Fourth International Conference on Computational Creativity}, series = {ICCC2013}, year = {2013}, month = {Jun}, location = {Sydney, New South Wales, Australia}, pages = {228}, url = {http://www.computationalcreativity.net/iccc2013/download/iccc2013-unemi-2.pdf, http://de.evo-art.org/index.php?title=A_Fully_Automatic_Evolutionary_Art }, publisher = {International Association for Computational Creativity}, keywords = {computational, creativity}, }
Used References
Satoh, H.; Ono, I.; and Kobayashi, S. 1997. A new gener- ation alternation model of genetic algorithms and its assess- ment. Journal of Japanese Society for Artificial Intelligence 12(5):734–744.
Unemi, T. 2012a. Sbart4 for an automatic evolutionary art. In Proceedings of the IEEE World Congress on Computa- tional Intelligence, 2014–2021.
Unemi, T. 2012b. Synthesis of sound effects for genera- tive animation. In Soddu, C., ed., Proceedings of the 15th Generative Art Conference, 364–376.
Demo video: http://www.youtube.com/watch?v=XBej nlu-Hg
Links
Full Text
http://www.computationalcreativity.net/iccc2013/download/iccc2013-unemi-2.pdf