Autonomously Communicating Conceptual Knowledge Through Visual Art
نویسندگان
چکیده
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 additions 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 composes universal icons into a single image and renders the image to match an associated adjective. The third addition is a similarity metric that maintains recognizability while allowing for the introduction of artistic elements. We use an online survey to show that the system is successful at creating images that communicate concepts to human viewers.
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