A Fully Automatic Evolutionary Art

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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


intern file

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