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== Bibtex ==  
 
== Bibtex ==  
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== Used References ==
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Ekárt, A., Joó, A., Sharma, D., Chalakov, S.: Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of Mathematics and the Arts 6(2-3), 107–124 (2012)
 +
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Eysenck, H.J., Castle, M.: Comparative study of artists and nonartists on the maitland graves design judgment test. Journal of Applied Psychology 55(4), 389–392 (1971)
 +
 +
Götz, K., Götz, K.: The maitland graves design judgement test judged by 22. Perceptual and Motor Skills 39, 261–262 (1974)
 +
 +
Greenfield, G., Machado, P.: Special issue: Mathematical models used in aesthetic evaluation. Journal of Mathematics and the Arts 6(2-3) (2012)
 +
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den Heijer, E.: Evolving glitch art. In: Machado, P., McDermott, J., Carballal, A. (eds.) EvoMUSART 2013. LNCS, vol. 7834, pp. 109–120. Springer, Heidelberg (2013)
 +
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Lewis, M.: Evolutionary visual art and design. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution, pp. 3–37. Springer, Heidelberg (2008)
 +
 +
Machado, P., Cardoso, A.: Computing aesthetics. In: de Oliveira, F.M. (ed.) SBIA 1998. LNCS (LNAI), vol. 1515, pp. 219–228. Springer, Heidelberg (1998)
 +
 +
Li, Y., Hu, C., Minku, L., Zuo, H.: Learning aesthetic judgements in evolutionary art systems. Genetic Programming and Evolvable Machines 14(3), 315–337 (2013), http://dx.doi.org/10.1007/s10710-013-9188-7
 +
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Machado, P., Romero, J., Manaris, B.: Experiments in computational aesthetics. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 381–415. Springer, Heidelberg (2007)
 +
 +
Romero, J., Machado, P., Carballal, A., Osorio, O.: Aesthetic classification and sorting based on image compression. In: Chio, C.D., et al. (eds.) EvoApplications 2011, Part II. LNCS, vol. 6625, pp. 394–403. Springer, Heidelberg (2011)
 +
 +
Romero, J., Machado, P., Carballal, A., Santos, A.: Using complexity estimates in aesthetic image classification. Journal of Mathematics and the Arts 6(2-3), 125–136 (2012)
 +
 +
Romero, J., Machado, P., Santos, A., Cardoso, A.: On the development of critics in evolutionary computation artists. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2003. LNCS, vol. 2611, pp. 559–569. Springer, Heidelberg (2003)
 +
 +
Taylor, R.P., Micolich, A.P., Jonas, D.: Fractal analysis of Pollock’s drip paintings. Nature 399, 422 (1999)
  
 
== Links ==
 
== Links ==

Version vom 11. Oktober 2014, 19:29 Uhr


Referenz

Luz Castro, Rebeca Perez, Antonino Santos, Adrian Carballal: Authorship and Aesthetics Experiments: Comparison of Results between Human and Computational Systems. In: EvoMUSART 2014, S. 74-84.

DOI

http://link.springer.com/10.1007/978-3-662-44335-4_7

Abstract

This paper presents the results of two experiments comparing the functioning of a computational system and a group of humans when performing tasks related to art and aesthetics. The first experiment consists of the identification of a painting, while the second one uses the Maitland Graves’s aesthetic appreciation test. The proposed system employs a series of metrics based on complexity estimators and low level features. These metrics feed a learning system using neural networks. The computational approach achieves similar results to those achieved by humans, thus suggesting that the system captures some of the artistic style and aesthetics features which are relevant to the experiments performed.

Extended Abstract

Bibtex

Used References

Ekárt, A., Joó, A., Sharma, D., Chalakov, S.: Modelling the underlying principles of human aesthetic preference in evolutionary art. Journal of Mathematics and the Arts 6(2-3), 107–124 (2012)

Eysenck, H.J., Castle, M.: Comparative study of artists and nonartists on the maitland graves design judgment test. Journal of Applied Psychology 55(4), 389–392 (1971)

Götz, K., Götz, K.: The maitland graves design judgement test judged by 22. Perceptual and Motor Skills 39, 261–262 (1974)

Greenfield, G., Machado, P.: Special issue: Mathematical models used in aesthetic evaluation. Journal of Mathematics and the Arts 6(2-3) (2012)

den Heijer, E.: Evolving glitch art. In: Machado, P., McDermott, J., Carballal, A. (eds.) EvoMUSART 2013. LNCS, vol. 7834, pp. 109–120. Springer, Heidelberg (2013)

Lewis, M.: Evolutionary visual art and design. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution, pp. 3–37. Springer, Heidelberg (2008)

Machado, P., Cardoso, A.: Computing aesthetics. In: de Oliveira, F.M. (ed.) SBIA 1998. LNCS (LNAI), vol. 1515, pp. 219–228. Springer, Heidelberg (1998)

Li, Y., Hu, C., Minku, L., Zuo, H.: Learning aesthetic judgements in evolutionary art systems. Genetic Programming and Evolvable Machines 14(3), 315–337 (2013), http://dx.doi.org/10.1007/s10710-013-9188-7

Machado, P., Romero, J., Manaris, B.: Experiments in computational aesthetics. In: Romero, J., Machado, P. (eds.) The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 381–415. Springer, Heidelberg (2007)

Romero, J., Machado, P., Carballal, A., Osorio, O.: Aesthetic classification and sorting based on image compression. In: Chio, C.D., et al. (eds.) EvoApplications 2011, Part II. LNCS, vol. 6625, pp. 394–403. Springer, Heidelberg (2011)

Romero, J., Machado, P., Carballal, A., Santos, A.: Using complexity estimates in aesthetic image classification. Journal of Mathematics and the Arts 6(2-3), 125–136 (2012)

Romero, J., Machado, P., Santos, A., Cardoso, A.: On the development of critics in evolutionary computation artists. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2003. LNCS, vol. 2611, pp. 559–569. Springer, Heidelberg (2003)

Taylor, R.P., Micolich, A.P., Jonas, D.: Fractal analysis of Pollock’s drip paintings. Nature 399, 422 (1999)

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