Visual Information Vases: Towards a Framework for Transmedia Creative Inspiration
Inhaltsverzeichnis
Reference
Britton Horn, Gillian Smith, Rania Masri and Janos Stone: Visual Information Vases: Towards a Framework for Transmedia Creative Inspiration. In: Computational Creativity 2015 ICCC 2015, 182-188.
DOI
Abstract
Inspiration is an important aspect of human creativity and one that creative systems are only recently implementing. In this research, we describe and implement a transmedia creative inspiration model for generative art systems. Our implementation of this model is Visual Information Vases (VIV), an artificially intelligent ceramicist that creates 3D-printable vases using inspiration from a user-supplied image. VIV scores an image along four aesthetic measures—activity, warmth, weight, and hardness—by evaluating the image’s color palette. VIV then attempts to create a vase with similar aesthetic measures through evolution. The resulting vases are diverse and functional creations. We hope that this model will allow future generative systems to create inspired artifacts from a wide variety of sources.
Extended Abstract
Bibtex
@inproceedings{
author = {Horn, Britton and Smith, Gillian and Masri, Rania and Stone, Janos},
title = {Visual Information Vases: Towards a Framework for Transmedia Creative Inspiration},
booktitle = {Proceedings of the Sixth International Conference on Computational Creativity},
series = {ICCC2015},
year = {2015},
month = {Jun},
location = {Park City, Utah, USA},
pages = {182-188},
url = {http://axon.cs.byu.edu/ICCC2015proceedings/8.1Horn.pdf http://de.evo-art.org/index.php?title=Visual_Information_Vases:_Towards_a_Framework_for_Transmedia_Creative_Inspiration },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
Used References
Birkhoff, G. D. 2003. Aesthetic Measure 1933. Harvard University Press.
Clune, J., and Lipson, H. 2011. Evolving 3d Objects with a Generative Encoding Inspired by Developmental Biology. SIGEVOlution 5(4):2–12.
Cook, M., and Colton, S. 2011. Multi-faceted evolution of simple arcade games. In CIG, 289–296.
Cope, D. 1996. Experiments in musical intelligence, volume 12. AR editions Madison, WI.
Draves, S. 2005. The Electric Sheep Screen-Saver: A Case Study in Aesthetic Evolution. In Rothlauf, F.; Branke, J.; Cagnoni, S.; Corne, D. W.; Drechsler, R.; Jin, Y.; Machado, P.; Marchiori, E.; Romero, J.; Smith, G. D.; and Squillero, G., eds., Applications of Evolutionary Computing, number 3449 in Lecture Notes in Computer Science. Springer Berlin Heidelberg. 458–467.
Eysenck, H. J. 1941. A Critical and Experimental Study of Colour Preferences. The American Journal of Psychology 54(3):385–394.
Freedman, D. A. 2009. Statistical models: theory and practice. cambridge university press.
Granger, G. W. 1955. An Experimental Study of Colour Preferences. The Journal of General Psychology 52(1):3– 20.
Hadamard, J. 1996. The Mathematician’s Mind: The Psychology of Invention in the Mathematical Field. Princeton University Press.
Hofstadter, D. R., and Mitchell, M. 1994. The copycat project: A model of mental fluidity and analogy-making. Advances in connectionist and neural computation theory 2(31-112):29–30.
Huang, C.; Liu, Q.; and Yu, S. 2011. Regions of interest extraction from color image based on visual saliency. The Journal of Supercomputing 58(1):20–33.
Krzeczkowska, A.; El-Hage, J.; Colton, S.; and Clark, S. 2010. Automated collage generation-with intent. In Proceedings of the 1st international conference on computational creativity, 20.
Lopes, P., and Yannakakis, G. N. 2014. Investigating Collaborative Creativity via Machine-Mediated Game Blending. In Tenth Artificial Intelligence and Interactive Digital Entertainment Conference.
Machado, P., and Cardoso, A. 2000. NEvArthe assessment of an evolutionary art tool. In Proceedings of the AISB00 Symposium on Creative & Cultural Aspects and Applications of AI & Cognitive Science, Birmingham, UK, volume 456.
McCorduck, P. 1990. Aaron’s Code: Meta-Art, Artificial Intelligence and the Work of Harold Cohen. New York: W H Freeman & Co.
McCutchan, A. 2003. The Muse that Sings: Composers Speak about the Creative Process. Oxford; New York: Oxford University Press.
Norton, D.; Heath, D.; and Ventura, D. 2013. Finding Creativity in an Artificial Artist. The Journal of Creative Behavior 47(2):106–124.
Ou, L.-C.; Luo, M. R.;Woodcock, A.; and Wright, A. 2004. A study of colour emotion and colour preference. Part I: Colour emotions for single colours. Color Research & Application 29(3):232–240.
Ranjan, A.; Gabora, L.; and OConnor, B. 2013. The Cross- Domain Re-interpretation of Artistic Ideas. Proceedings of the 35th Annual Meeting of the Cognitive Science Society. arXiv: 1308.4706.
Reed, K. 2013. Aesthetic Measures for Evolutionary Vase Design. In Machado, P.; McDermott, J.; and Carballal, A., eds., Evolutionary and Biologically Inspired Music, Sound, Art and Design, number 7834 in Lecture Notes in Computer Science. Springer Berlin Heidelberg. 59–71.
Secretan, J.; Beato, N.; D Ambrosio, D. B.; Rodriguez, A.; Campbell, A.; and Stanley, K. O. 2008. Picbreeder: Evolving Pictures Collaboratively Online. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI ’08, 1759–1768. New York, NY, USA: ACM.
Shaker, N.; Yannakakis, G.; and Togelius, J. 2013. Crowdsourcing the Aesthetics of Platform Games. IEEE Transactions on Computational Intelligence and AI in Games 5(3).
Sharma, G.; Wu, W.; and Dalal, E. N. 2005. The CIEDE2000 color-difference formula: Implementation notes, supplementary test data, and mathematical observations. Color Research & Application 30(1):21–30.
Smith, A.; Romero, M.; Pousman, Z.; and Mateas, M. 2006. Tableau machine: an alien presence in the home. New York, NY, USA: ACM.
Thrash, T. M., and Elliot, A. J. 2003. Inspiration as a psychological construct. Journal of Personality and Social Psychology 84(4):871.
Willmann, R. R. 1944. An experimental investigation of the creative process in music: The transposability of visual design stimuli to musical themes. Psychological Monographs 57(1):i–76. Proceedings
Links
Full Text
http://computationalcreativity.net/iccc2015/proceedings/8_1Horn.pdf
