Quantifying Creativity in Art Networks
Inhaltsverzeichnis
Reference
Ahmed Elgammal and Babak Saleh: Quantifying Creativity in Art Networks In: Computational Creativity 2015 ICCC 2015, 39-46.
DOI
Abstract
This paper proposes a computational framework for assessing the creativity of products, such as paintings, sculptures, poetry, etc. The proposed computational framework is based on constructing a network between creative products and using this network to infer about the originality and influence of its nodes. Through a series of transformations, we construct a Creativity Implication Network. We show that inference about creativity in this network reduces to a variant of network centrality problems which can be solved efficiently. We apply the proposed framework to the task of quantifying creativity of paintings (and sculptures). We experimented on two datasets with over 62K paintings to illustrate the behavior of the proposed framework.
Extended Abstract
Bibtex
@inproceedings{
author = {Elgammal, Ahmed and Saleh, Babak},
title = {Quantifying Creativity in Art Networks},
booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
series = {ICCC2015},
year = {2015},
month = {Jun},
location = {Park City, Utah, USA},
pages = {39-46},
url = {http://computationalcreativity.net/iccc2015/proceedings/2_3Elgammal.pdf http://de.evo-art.org/index.php?title=Quantifying_Creativity_in_Art_Networks },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
Used References
Boden, M. A. 1990. The creative mind: Myths and mechanisms. Basic Books.
Borgatti, S. P., and Everett, M. G. 2006. A graph-theoretic perspective on centrality. Social networks 28(4):466–484.
Brin, S., and Page, L. 1998. The anatomy of a large-scale hypertextual web search engine. Computer networks and ISDN systems 30(1):107–117.
Fichner-Rathus, L. 2008. Foundations of Art and Design. Clark Baxter.
Guyer, P., and Wood, A. W. 2000. Critique of the Power of Judgement. The Cambridge Edition of the Works of Immanuel Kant. Cambridge University Press.
Harden, M. The artchive@http://artchive.com/cdrom.htm.
Hubbell, C. H. 1965. An input-output approach to clique identification. Sociometry 377–399.
Jarvie, I. 1986. The rationality of creativity. In Thinking about Society: Theory and Practice. Springer. 282–301.
Nanay, B. 2014. An experiential account of creativity. In Paul, E. S., and Kaufman, S. B., eds., The Philosophy of Creativity: New Essays. Oxford University Press.
Paul, E. S., and Kaufman, S. B. 2014a. Introducing the philosophy of creativity. In The Philosophy of Creativity: New Essays. Oxford University Press.
Paul, E. S., and Kaufman, S. B. 2014b. The Philosophy of Creativity: New Essays. Oxford University Press.
Saleh, B.; Abe, K.; Arora, R. S.; and Elgammal, A. 2014. Toward automated discovery of artistic influence. Multimedia Tools and Applications - Special Issue on Multimedia for Cultural Heritage.
Spratt, E. L., and Elgammal, A. 2014. Computational beauty: Aesthetic judgment at the intersection of art and science. In ECCV 2014 Workshops, Part I, Proceedings of when vision meets art (VisArt) workshop, Lecture Notes on Computer Science number 8925. Springer.
Taylor, C. W. 1988. Various approaches to and definitions of creativity. The nature of creativity 99–121.
Torresani, L.; Szummer, M.; and Fitzgibbon, A. 2010. Efficient object category recognition using classemes. In ECCV.
Links
Full Text
http://computationalcreativity.net/iccc2015/proceedings/2_3Elgammal.pdf
