WordsEye: an automatic text-to-scene conversion system
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Natural language driven image generation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
Web-Based Visualization of 3D Geospatial Data Using Java3D
IEEE Computer Graphics and Applications
Text-to-scene conversion for accident visualization
SIGGRAPH '04 ACM SIGGRAPH 2004 Posters
Put: Language-Based Interactive Manipulation of Objects
IEEE Computer Graphics and Applications
Carsim: a system to visualize written road accident reports as animated 3D scenes
TextMean '04 Proceedings of the 2nd Workshop on Text Meaning and Interpretation
Creating Complex Interactive 3D Visualisations of Naval Battles from Natural Language Narratives
DESE '10 Proceedings of the 2010 Developments in E-systems Engineering
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This paper builds on previous research into the development of the TMap3D system which allows for the creation of historical 3D spatiotemporal visualisations from natural language narratives [1]. This paper addresses the use of deductive 3D modelling techniques to generate the realism of the object behaviours, the environmental conditions and their interactions within the visualisation. The authors define deductive 3D modelling techniques as follows: (i) Given an object and its specification the Vist3D system (formally TMap3D) can deduce the object's visualised behaviour in response to a given "real world" instruction from the natural language narrative. (ii) The Vist3D system can deduce visualised environmental conditions from the natural language narrative. (iii) The Vist3D system can deduce the interactions between the objects (e.g. ship) and the environmental conditions (e.g. rough sea) to generate, for example, a ship rolling in rough seas.