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Ashley Mills: [[Animating Typescript Using Aesthetically Evolved Images]]. In: [[EvoMUSART 2016]], 126-134.
 
  
 
== Referenz ==  
 
== Referenz ==  
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Ashley Mills: [[Animating Typescript Using Aesthetically Evolved Images]]. In: [[EvoMUSART 2016]], 126-134.
  
 
== DOI ==
 
== DOI ==
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== Used References ==  
 
== Used References ==  
1. Sims, K.: Artificial evolution for computer graphics. Comput. Graph. 25(4), 319–328 (1991) http://dx.doi.org/10.1145/127719.122752
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1. [[Karl Sims]]: [[Artificial evolution for computer graphics]]. In: SIGGRAPH 1991 Proceedings, vol. 25, pp. 319–328. ACM, New York (1991), http://dx.doi.org/10.1145/122718.122752 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.2547 http://www.karlsims.com/papers/siggraph91.html http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.2547&rep=rep1&type=pdf
  
2. Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press, London (1992)MATH
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2. {{LitBook |Autor = [[Stephen Todd]], [[William Latham]] |Titel = [[Evolutionary Art and Computers]] | Auflage = 1  | Verlag = Academic Press Inc | Ort =  Orlando | Jahr = 1992 | ISBN = 978-0124371859 | Seiten =  288}}
  
3. Machado, P., Cardoso, A.: NEvAr - the assessment of an evolutionary art tool. In: Proceedings of the AISB 2000 Symposium on Creative and Cultural Aspects and Applications of AI and Cognitive Science, Birmingham, UK (2000)
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3. [[Penousal Machado]], [[Amílcar Cardoso]]: [[NEvAr the assessment of an evolutionary art tool]]. In: Proceedings of the AISB 2000 Symposium on Creative and Cultural Aspects and Applications of AI and Cognitive Science (2000). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.6858 http://fmachado.dei.uc.pt/wp-content/papercite-data/pdf/mc00.pdf
  
4. Rooke, S.: Eons of Genetically Evolved Algorithmic Images. Morgan Kaufmann Publishers Inc., San Francisco (2002) http://dx.doi.org/10.1016/B978-155860673-9/50052-5
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4. [[Steven Rooke]]: [[Eons of genetically evolved algorithmic images]]. In: Bentley, Peter J.; Corne, David W.: Creative Evolutionary Systems. Academic Press, 2001. 339 - 365. http://dx.doi.org/10.1016/B978-155860673-9/50052-5
  
5. McCormack, J.: Aesthetic evolution of l-systems revisited. In: EvoWorkshops, pp. 477–488 (2004)
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5. [[Jon McCormack]]: [[Aesthetic Evolution of L-Systems Revisited]]. In: [[EvoMUSART 2004]], 477-486. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_49
  
6. Mills, A.: Evolving aesthetic images. MSc Mini Project Thesis (2005). https://​www.​ashleymills.​com/​ae/​EvolutionaryArt.​pdf
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6. [[Ashley Mills]]: Evolving aesthetic images. MSc Mini Project Thesis (2005). https://​www.​ashleymills.​com/​ae/​EvolutionaryArt.​pdf 404
  
7. Martins, T., Correia, J., Costa, E., Machado, P.: Evotype: evolutionary type design. In: Johnson, C., Carballal, A., Correia, J. (eds.) EvoMUSART 2015. LNCS, vol. 9027, pp. 136–147. Springer, Heidelberg (2015)
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7. [[Tiago Martins]], [[João Correia]], [[Ernesto Costa]], [[Penousal Machado]]: [[Evotype: Evolutionary Type Design]]. In: [[EvoMUSART 2015]], 136-147. DOI: http://link.springer.com/chapter/10.1007/978-3-319-16498-4_13 http://www.researchgate.net/publication/280308590_Evotype_Evolutionary_Type_Design
 
   
 
   
 
8. Ffmpeg. http://​www.​ffmpeg.​org
 
8. Ffmpeg. http://​www.​ffmpeg.​org

Aktuelle Version vom 13. Juni 2016, 15:38 Uhr

Referenz

Ashley Mills: Animating Typescript Using Aesthetically Evolved Images. In: EvoMUSART 2016, 126-134.

DOI

http://dx.doi.org/10.1007/978-3-319-16498-4_9

Abstract

The genotypic functions from apriori aesthetically evolved images are mutated progressively and their phenotypes sequenced temporally to produce animated versions. The animated versions are mapped onto typeface and combined spatially to produce animated typescript. The output is then discussed with reference to computer aided design and machine learning.

Extended Abstract

Bibtex

@incollection{
year={2016},
isbn={978-3-319-31007-7},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={9596},
series={Lecture Notes in Computer Science},
editor={Johnson, Colin and Ciesielski, Vic and Correia, João and Machado, Penousal},
doi={http://dx.doi.org/10.1007/978-3-319-16498-4_9},
title={Animating Typescript Using Aesthetically Evolved Images},
url={http://link.springer.com/chapter/10.1007/978-3-319-31008-4_9 http://de.evo-art.org/index.php?title=Animating_Typescript_Using_Aesthetically_Evolved_Images },
publisher={Springer International Publishing},
keywords={Aesthetic evolution animated, Animated typeface, Typescripts},
author={Mills, Ashley},
pages={126-134},
language={English}
}

Used References

1. Karl Sims: Artificial evolution for computer graphics. In: SIGGRAPH 1991 Proceedings, vol. 25, pp. 319–328. ACM, New York (1991), http://dx.doi.org/10.1145/122718.122752 http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.161.2547 http://www.karlsims.com/papers/siggraph91.html http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.161.2547&rep=rep1&type=pdf

2. Stephen Todd, William Latham: Evolutionary Art and Computers. 1 Aufl., Academic Press Inc, Orlando, 1992, ISBN 978-0124371859, 288 Seiten.


3. Penousal Machado, Amílcar Cardoso: NEvAr – the assessment of an evolutionary art tool. In: Proceedings of the AISB 2000 Symposium on Creative and Cultural Aspects and Applications of AI and Cognitive Science (2000). http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.6858 http://fmachado.dei.uc.pt/wp-content/papercite-data/pdf/mc00.pdf

4. Steven Rooke: Eons of genetically evolved algorithmic images. In: Bentley, Peter J.; Corne, David W.: Creative Evolutionary Systems. Academic Press, 2001. 339 - 365. http://dx.doi.org/10.1016/B978-155860673-9/50052-5

5. Jon McCormack: Aesthetic Evolution of L-Systems Revisited. In: EvoMUSART 2004, 477-486. DOI: http://link.springer.com/10.1007/978-3-540-24653-4_49

6. Ashley Mills: Evolving aesthetic images. MSc Mini Project Thesis (2005). https://www.ashleymills.com/​ae/​EvolutionaryArt.​pdf 404

7. Tiago Martins, João Correia, Ernesto Costa, Penousal Machado: Evotype: Evolutionary Type Design. In: EvoMUSART 2015, 136-147. DOI: http://link.springer.com/chapter/10.1007/978-3-319-16498-4_13 http://www.researchgate.net/publication/280308590_Evotype_Evolutionary_Type_Design

8. Ffmpeg. http://www.ffmpeg.org

9. Merritt, L., Vanam, R.: x264: A high performance h. 264/AVC encoder (2006). http://neuron2.net/​library/​avc/​overview_​x264_​v8_​5.​pdf

10. Noé, A.: Matroska file format (2009). http://www.matroska.org/​files/​matroska.​pdf

11. Multimedia examples of the artifacts described in this paper. http://www.evoart.club/​evomusart2016

12. Nikolov, N.: Organo font landing page. http://logomagazin.com/​organo-font/​

13. Cover, T.: Geometrical and statistical properties of systems of linear in equalities with applications in pattern recognition. IEEE Trans. Electron. Comput. 3(EC–14), 326–334 (1965) http://dx.doi.org/10.1109/PGEC.1965.264137

14. Cortes, C., Vapnik, V.: Support-vector networks. Mach. Learn. 20(3), 273–297 (1995)

15. Maass, W., Natschläger, T., Markram, H.: Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14(11), 2531–2560 (2002) http://dx.doi.org/10.1162/089976602760407955

16. Wolf, A., Swift, J.B., Swinney, H.L., Vastano, J.A.: Determining Lyapunov exponents from a time series. Physica D 16(3), 285–317 (1985) http://dx.doi.org/10.1016/0167-2789(85)90011-9

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