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Constraint-based conversion of fiction text to a time-based graphical representation
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Source ACM International Conference Proceeding Series; Vol. 226 archive
Proceedings of the 2007 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries table of contents
Port Elizabeth, South Africa
Pages: 19 - 28  
Year of Publication: 2007
ISBN:978-1-59593-775-9
Authors
Kevin Glass  Rhodes University, Grahamstown, South Africa
Shaun Bangay  Rhodes University, Grahamstown, South Africa
Sponsors
: Telcom
: COE
Microsoft : Microsoft
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper presents a method for converting unrestricted fiction text into a time-based graphical form. Key concepts extracted from the text are used to formulate constraints describing the interaction of entities in a scene. The solution of these constraints over their respective time intervals provides the trajectories for these entities in a graphical representation.

Three types of entity are extracted from fiction books to describe the scene, namely Avatars, Areas and Objects. We present a novel method for modeling the temporal aspect of a fiction story using multiple time-line representations after which the information extracted regarding entities and time-lines is used to formulate constraints. A constraint solving technique based on interval arithmetic is used to ensure that the behaviour of the entities satisfies the constraints over multiple universally quantified time intervals. This approach is demonstrated by finding solutions to multiple time-based constraints, and represents a new contribution to the field of Text-to-Scene conversion. An example of the automatically produced graphical output is provided in support of our constraint-based conversion scheme.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Kevin Glass: colleagues
Shaun Bangay: colleagues