Computational beauty: Aesthetic judgment at the intersection of art and science

Aus de_evolutionary_art_org
Version vom 17. November 2015, 15:14 Uhr von Gubachelier (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „arXiv preprint arXiv:1410.2488 (2014) == Reference == Spratt, E.L., Elgammal, A.: Computational beauty: Aesthetic judgment at the intersection of art and sc…“)

(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu: Navigation, Suche

arXiv preprint arXiv:1410.2488 (2014)


Spratt, E.L., Elgammal, A.: Computational beauty: Aesthetic judgment at the intersection of art and science.



In part one of the Critique of Judgment, Immanuel Kant wrote that "the judgment of not a cognitive judgment, and so not logical, but is aesthetic."\cite{Kant} While the condition of aesthetic discernment has long been the subject of philosophical discourse, the role of the arbiters of that judgment has more often been assumed than questioned. The art historian, critic, connoisseur, and curator have long held the esteemed position of the aesthetic judge, their training, instinct, and eye part of the inimitable subjective processes that Kant described as occurring upon artistic evaluation. Although the concept of intangible knowledge in regard to aesthetic theory has been much explored, little discussion has arisen in response to the development of new types of artificial intelligence as a challenge to the seemingly ineffable abilities of the human observer. This paper examines the developments in the field of computer vision analysis of paintings from canonical movements with the history of Western art and the reaction of art historians to the application of this technology in the field. Through an investigation of the ethical consequences of this innovative technology, the unquestioned authority of the art expert is challenged and the subjective nature of aesthetic judgment is brought to philosophical scrutiny once again.

Extended Abstract


 author    = {Emily L. Spratt and
              Ahmed M. Elgammal},
 title     = {Computational Beauty: Aesthetic Judgment at the Intersection of Art
              and Science},
 journal   = {CoRR},
 volume    = {abs/1410.2488},
 year      = {2014},
 url       = {, },
 timestamp = {Thu, 12 Nov 2015 18:16:12 +0100},
 biburl    = {},
 bibsource = {dblp computer science bibliography,}

Used References

1. Kant, I.: Critique of Aesthetic Judgment (Part One), from Critique of Judgment. Translated by James Creed Meredith. Clarendon Press, Oxford (1911)

2. Stork, D.G.: Computer vision and computer graphics analysis of paintings and drawings: An introduction to the literature. In: Computer Analysis of Images and Patterns, Springer (2009) 9{24

3. Sablatnig, R., Kammerer, P., Zolda, E.: Hierarchical classi�cation of paintings using face- and brush stroke models. In: ICPR. (1998)

4. Li, J., Wang, J.Z.: Studying digital imagery of ancient paintings by mixtures of stochastic models. Image Processing, IEEE Transactions on 13 (3) (2004) 340{353

5. Lyu, S., Rockmore, D., Farid, H.: A digital technique for art authentication. Pro- ceedings of the National Academy of Sciences of the United States of America 101(49) (2004) 17006{17010

6. Johnson, C.R., Hendriks, E., Berezhnoy, I.J., Brevdo, E., Hughes, S.M., Daubechies, I., Li, J., Postma, E., Wang, J.Z.: Image processing for artist identification. Signal Processing Magazine, IEEE 25 (4) (2008) 37{48

7. Berezhnoy, I.E., Postma, E.O., van den Herik, H.J.: Automatic extraction of brush- stroke orientation from paintings. Machine Vision and Applications 20(1) (2009) 1{9

8. Polatkan, G., Jafarpour, S., Brasoveanu, A., Hughes, S., Daubechies, I.: Detection of forgery in paintings using supervised learning. In: Image Processing (ICIP), 2009 16th IEEE International Conference on. (2009") 2921 {2924

9. Li, J., Yao, L., Hendriks, E., Wang, J.Z.: Rhythmic brushstrokes distinguish van gogh from his contemporaries: Findings via automated brushstroke extraction. IEEE Trans. Pattern Anal. Mach. Intell. (2012)

10. Lombardi, T.E.: The classi�cation of style in �ne-art painting. ETD Collection for Pace University. Paper AAI3189084. (2005)

11. Widjaja, I., Leow, W., Wu., F.: Identifying painters from color pro�les of skin patches in painting images. In: ICIP. (2003)

12. Khan, F.S., van de Weijer, J., Vanrell, M.: Who painted this painting? In: The CREATE 2010 Conference. (2010)

13. Carneiro, G.: Graph-based methods for the automatic annotation and retrieval of art prints. In: ICMR. (2011)

14. Carneiro, G., da Silva, N.P., Bue, A.D., Costeira, J.P.: Artistic image classi�cation: An analysis on the printart database. In: ECCV. (2012)

15. Graham, D., Friedenberg, J., Rockmore, D.: Mapping the similarity space of paint- ings: image statistics and visual perception. Visual Cognition (2010)

16. Cabral, R.S., Costeira, J.P., De la Torre, F., Bernardino, A., Carneiro, G.: Time and order estimation of paintings based on visual features and expert priors. In: SPIE Electronic Imaging, Computer Vision and Image Analysis of Art II. (2011)

17. Arora, R.S., Elgammal, A.M.: Towards automated classi�cation of �ne-art painting style: A comparative study. In: ICPR. (2012)

18. Torresani, L., Szummer, M., Fitzgibbon, A.: E�cient object category recognition using classemes. In: ECCV. (2010)

19. Abe, K., Saleh, B., Elgammal, A.: An early framework for determining artistic influence. In: 2nd International Workshop on Multimedia for Cultural Heritage (MM4CH). (2013)

20. Saleh, B., Abe, K., Arora, R.S., Elgammal, A.: Toward automated discovery of artistic influence. Multimedia Tools and Applications - Special Issue on Multimedia for Cultural Heritage - in press (2014)

21. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Studying aesthetics in photographic images using a computational approach. In: Computer Vision{ECCV 2006. Springer (2006) 288{301

22. Dhar, S., Ordonez, V., Berg, T.L.: High level describable attributes for predict- ing aesthetics and interestingness. In: Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, IEEE (2011) 1657{1664

23. Sparkes, M.: Could Computers Put Art Historians Out of Work? The Telegraph, Aug. 18, 2014. 11041814/Could-computers-put-art-historians-out-of-work.html?fb

24. Marche, S.: Literature is not Data, Against Digital Humanities. Los Ange- les Review of Books, October 28, 2012. literature-is-not-data-against-digital-humanities

25. Fish, S.: Mind Your P's and B's: The Digital Humanities and Interpretation. The Opinion Pages, The New York Times, Jan. 23, 2012.

26. Paul, E.S., Kaufman, S.B.: On philosophical interpretations of what makes us human. In: The Philosophy of Creativity: New Essays. Oxford University Press (2014)

27. Preziosi, D.: The Art of Art History: A Critical Anthology. Oxford University Press (1998)

28. Baumgarten, A.G.: Aesthetica. Georg Olms Publishing House (1961)

29. McMahon, J.A.: Art and Ethics in a Material World: Kant's Pragmatist Legacy. Routledge (2013)

30. Aristotle: Poetics. Translated by Joe Sachs. Focus Publishing, Newburyport (2006)

31. Zittel, C.: Ed. Philosophies of Technology: Francis Bacon and His Contemporaries. Brill, Leiden (2008)

32. Findlen, P.: Possessing Nature: Museums, Collecting, and Scienti�c Culture in Early Modern Italy (Studies on the History of Society and Culture). University of California Press, Berkeley (1994)

33. Fernie, E.: Art History and its Methods, a Critical Anthology. Phaidon Press Limited, Regent's Wharf (1995)

34. Morelli, G.: Kunstkritische Studien uber italienische Malerei: die Galerien Borghese und Doria Pam�lj in Rom. Leipzig (1890)

35. Morelli, G.: Principles and Methods in Italian Painters: Critical Studies of Their Works. Translated by C.J. Ffoulkes. London (1892)

36. Dawkins, R.: The Blind Watchmaker: Why the Evidence of Evolution Reveals a Universe Without Design. W. W. Norton & Company, New York (1996)

37. Onians, J.: Neuroarthistory: From Aristotle and Pliny to Baxandall and Zeki. Yale University Press, New Haven (2007)

38. Tsukiura, T., Cabeza, R.: Shared brain activity for aesthetic and moral judgments: implications for the beauty-is-good stereotype. Soc Cogn A�ect Neurosci 6 (1)(2011) 138{148

39. Freedberg, D.: The Power of Images: Studies in the History and Theory of Re- sponse. University of Chicago Press, Chicago (1989)

40. Baxandall, M.: Painting and Experience in Fifteenth Century Italy. Oxford Uni- versity Press, Oxford (1972)

41. Arnheim, R.: Art and Visual Perception: A Psychology of the Creative Eye. Uni- versity of California Press, Berkeley and Los Angeles (1954)

42. Louden, R.B.: Kant's Impure Ethics: From Rational Beings to Human Beings. Oxford University Press (2002)

43. Meier-Graefe, J.: Modern Art: Being a Contribution to a New System of Aesthetics, Translated by Florence Simmonds and George W. Chrystal. G.P. Putnam's Sons, New York and London (1908)

44. Wiener, N.: The Human Use of Human Beings: Cybernetics and Society. Da Capo Press, New York (1996)

45. Spratt, E.L.: Man versus Machine: Aesthetic Judgment in the Age of Arti�cial Intelligence. Presentation, Theoretical Archaeology Annual Group Meeting, Uni- versity of Illinois at Urbana-Champaign (May 2014)

46. Hughes, J.M., Mao, D., Rockmore, D.N., Wang, Y., Wu, Q.: Empirical mode decomposition analysis for visual stylometry. Pattern Analysis and Machine Intel- ligence, IEEE Transactions on 34 (11) (2012) 2147{2157

47. Podro, M.: The Critical Historians of Art. Yale University Press (1984)

48. Boden, M.A.: Creativity and artificial intelligence: A contradiction in terms? In: The Philosophy of Creativity: New Essays. (2014)

49. Bohm, D.: On Creativity. Routledge, New York (1998)

50. Hume, D.: Of the Standard of Taste and Other Essays, ed. John W. Lenz. Bobbs-Merrill, Indianapolis (1965)


Full Text

intern file

Sonstige Links