TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
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
Real-time automatic 3D scene generation from natural language voice and text descriptions
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Put: Language-Based Interactive Manipulation of Objects
IEEE Computer Graphics and Applications
The Visualization and Animation of Algorithmically Generated 3D Models Using Open Source Software
MMEDIA '09 Proceedings of the 2009 First International Conference on Advances in Multimedia
Towards automatic animated storyboarding
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
A Review of Scene Visualization Based on Language Descriptions
CGIV '09 Proceedings of the 2009 Sixth International Conference on Computer Graphics, Imaging and Visualization
IVIC '09 Proceedings of the 1st International Visual Informatics Conference on Visual Informatics: Bridging Research and Practice
Frame semantics in text-to-scene generation
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part IV
SceneMaker: intelligent multimodal visualization of natural language scripts
AICS'09 Proceedings of the 20th Irish conference on Artificial intelligence and cognitive science
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Visualizing natural language description is a process of generating 3D scene from natural language statement. Firstly, we should consider the real world visualization and find out what are the keys of visual information that can be extracted from the sentences which represents the most fundamental concepts in both virtual and real environments. This paper focuses on method of generating the 3D scene visualization using semantic simplification description based on logical representation. Based on semantic simplification's description, a concept of parent-child objects relationship is derived. This concept is used as the foundation in determining spatial relationships between objects. Aim of this study is to analyze and match the visual expression and the key information using visual semantic simplification description which presented in logical form. Based on the experimental result, it shows that 60% of the phrases were able to give appropriate depiction as the meaning of the phrase.