Quelltext der Seite Evolving images for entertainment


== Reference ==
Xu, Q., D’Souza, D., Ciesielski, V.: Evolving images for entertainment. In: Proceedings of the 2007 Australasian Conference on Interactive Entertainment, December 3-5, pp. 1–8. ACM (2007). 

== DOI ==


== Abstract ==
Images are widely used in media contexts such as web design, games and video animation. The process of creating interesting images can be enjoyable if a useful tool is involved. In this paper we describe an interactive image generation tool called IMAGENE based on genetic programming, which can be used to create novel, surprising, and sometimes stunning images. A new method for presenting colour images is also proposed, which results in more colourful images being generated. The system permits the user to progressively evaluate and generate new images from previous sets of images. In doing so, the user is also able to control various settings and parameters. From a user perspective, the system has the following qualities which make generating images entertaining: can be created by choosing different function settings and families of images which have common characteristics between parents and children can be generated.

== Extended Abstract ==

== Reviews==

== Bibtex == 

== Used References ==
A. V. Aho and N. J. Sloane. Some doubly exponential sequences. Fibonacci Quarterly, 11:429--437, 1970.

Jiyuan An , Jeffrey Xu Yu , Chotirat Ann Ratanamahatana , Yi-Ping Phoebe Chen, A dimensionality reduction algorithm and its application for interactive visualization, Journal of Visual Languages and Computing, v.18 n.1, p.48-70, February, 2007  http://dx.doi.org/10.1016/j.jvlc.2006.03.001

S. Baluja, D. Pomerleau, and T. Jochem. Towards automated artificial evolution for computer-generated images. Connection Science, 6(2--3):325--354, 1994.

V. Ciesielski, M. Berry, N. Herzog, X. Li, and A. Song. Winning image. IEEE Congress on Evolutionary Computation Evolved Art Competition, 2005. http://www.cs.rmit.edu.au/~vc/evolved-art/gallery.

A. Dorin. Aesthetic fitness and artificial evolution for the selection of imagery from the mythical infinite library. Lecture Notes in Computer Science, 2159:659--668, 2001.

David S. Ebert , F. Kenton Musgrave , Darwyn Peachey , Ken Perlin , Steven Worley, Texturing and Modeling: A Procedural Approach, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2002 http://dl.acm.org/citation.cfm?id=572337&CFID=588525319&CFTOKEN=29804931

J. Graf and W. Banzhaf. Interactive evolution of images. In Evolutionary Programming, pages 53--65, 1995.

David Hart, Toward greater artistic control for interactive evolution of images and animation, ACM SIGGRAPH 2006 Sketches, July 30-August 03, 2006, Boston, Massachusetts  http://doi.acm.org/10.1145/1179849.1179852

John R. Koza, Genetic programming: on the programming of computers by means of natural selection, MIT Press, Cambridge, MA, 1992

Penousal Machado, Amílcar Cardoso, All the Truth About NEvAr, Applied Intelligence, v.16 n.2, p.101-118, March-April 2002  http://dx.doi.org/10.1023/A:1013662402341

Steven Rooke, Eons of genetically evolved algorithmic images, Creative evolutionary systems, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2001 http://dl.acm.org/citation.cfm?id=510367&CFID=588525319&CFTOKEN=29804931

B. J. Ross, W. Ralph, and H. Zong. Evolutionary image synthesis using a model of aesthetics. In G. G. Yen, L. Wang, P. Bonissone, and S. M. Lucas, editors, Proceedings of the 2006 IEEE Congress on Evolutionary Computation, pages 3832--3839, 2006.
	
Brian J. Ross , Han Zhu, Procedural texture evolution using multi-objective optimization, New Generation Computing, v.22 n.3, p.271-293, July 2004 http://dx.doi.org/10.1007/BF03040964

K. Sims. Interactive evolution of equations for procedural model. volume 9, pages 466--476, 1993.

Eric J. Stollnitz , Tony D. Derose , David H. Salesin, Wavelets for computer graphics: theory and applications, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1996 http://dl.acm.org/citation.cfm?id=286071&CFID=588525319&CFTOKEN=29804931

N. Svangaard and P. Nordin. Automated aesthetic selection of evolutionary art by distance based classification of genomes and phenomes using the universal similarity metric. In Applications of Evolutionary Computing, volume 3005, pages 447--456, 2004.

Li-Yi Wei , Marc Levoy, Fast texture synthesis using tree-structured vector quantization, Proceedings of the 27th annual conference on Computer graphics and interactive techniques, p.479-488, July 2000  http://doi.acm.org/10.1145/344779.345009
	
Mitchell Whitelaw, Breeding aesthetic objects: art and artificial evolution, Creative evolutionary systems, Morgan Kaufmann Publishers Inc., San Francisco, CA, 2001 http://dl.acm.org/citation.cfm?id=510354&CFID=588525319&CFTOKEN=29804931

A. Wiens and B. Ross. Gentropy: Evolutionary 2d texture generation. Computers and Graphics Journal, 26(1):75--88, 2002. 


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