Autonomously Communicating Conceptual Knowledge Through Visual Art
Inhaltsverzeichnis
Reference
Derrall Heath, David Norton and Dan Ventura: Autonomously Communicating Conceptual Knowledge Through Visual Art. In: Computational Creativity 2013 ICCC 2013, 97-104.
DOI
Abstract
In visual art, the communication of meaning or intent is an important part of eliciting an aesthetic experience in the viewer. Building on previous work, we present three ad- ditions to DARCI that enhances its ability to communicate concepts through the images it creates. The first addition is a model of semantic memory based on word associations for providing meaning to concepts. The second addition com- poses universal icons into a single image and renders the im- age to match an associated adjective. The third addition is a similarity metric that maintains recognizability while allow- ing for the introduction of artistic elements. We use an online survey to show that the system is successful at creating im- ages that communicate concepts to human viewers.
Extended Abstract
Bibtex
@inproceedings{
author = {Derrall Heath, David Norton and Dan Ventura},
title = {Autonomously Communicating Conceptual Knowledge Through Visual Art},
editor = {Simon Colton, Dan Ventura, Nada Lavrac, Michael Cook},
booktitle = {Proceedings of the Fourth International Conference on Computational Creativity},
series = {ICCC2013},
year = {2013},
month = {Jun},
location = {Sydney, New South Wales, Australia},
pages = {97-104},
url = {http://www.computationalcreativity.net/iccc2013/download/iccc2013-heath-norton-ventura.pdf, http://de.evo-art.org/index.php?title=Autonomously_Communicating_Conceptual_Knowledge_Through_Visual_Art },
publisher = {International Association for Computational Creativity},
keywords = {computational, creativity},
}
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