DocumentCode :
2714648
Title :
Scene Visualization Based on Semantic-Visual Association
Author :
Zeng, X. ; Tan, M.L. ; Liu, J.J.
Author_Institution :
Scholl of Archit. & Art Central, South Univ., Changsha, China
fYear :
2012
fDate :
11-13 Aug. 2012
Firstpage :
34
Lastpage :
37
Abstract :
Along with the increasing power of the computer, and the development of computer graphics and natural language processing technologies, there is a variety of applications adopting these methods to generate virtual scene by language description. Natural language often describes visual scenes at a high level, thus leaving out many of details that have to be specified and decoded into program language that the computer can understand. The main challenges of this work are to encapsulate natural language understanding and computer graphic technology, incorporate theory of visual perception and spatial language, and finally generate appropriate virtual environment.
Keywords :
Java; data visualisation; natural language processing; text analysis; Java classes; computer graphic technology; language description; natural language processing technologies; natural language understanding; program language; scene visualization; semantic-visual association; spatial language; virtual scene; visual perception; Computers; Knowledge based systems; Natural languages; Semantics; Syntactics; Visualization; scene visualization; semantic definition; visual information;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
Type :
conf
DOI :
10.1109/CSSS.2012.17
Filename :
6394255
Link To Document :
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