Visual Information Vases: Towards a Framework for Transmedia Creative Inspiration

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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},
}

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