Bridges 2012 Regular Paper
Never-ending Storytelling with Discrete-Time Markov Processes
Yutu Liu, Ergun Akleman, Jianer Chen
(Proceedings pages 85–92)
Abstract
This paper presents a theoretical framework to create never-ending
stories. Our theoretical framework is developed using discrete-time
stochastic processes with a Markov property. To demonstrate the
effectiveness of our theoretical framework, we have developed a
visual storytelling system that helps users to interactively create
narratives. This preliminary visual storytelling system can help
users to create never-ending narrative segments in cartoon form.
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