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    From visual semantic parameterization to graphic visualization

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    Authors
    Zeng, Xin
    Mehdi, Qasim
    Gough, Norman
    Issue Date
    2005
    
    Metadata
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    Abstract
    Visualizing natural language description is a difficult and complex task. When dealing with the process of generating images from natural language descriptions, we firstly should consider the real world and find out what key visual information can be extracted from the sentences which represents the most fundament concepts in both virtual and real environments. In this paper, we present the result of a prototype system called 3DSV (3D Story Visualiser) that generates a virtual scene by using simplified story-based descriptions. In particular, we describe the methodology used to parameterize the visual and describable words into XML formatted data structure. Then we discuss how to interpret the parameterized data and create an interactive real-time 3D virtual environment.
    Citation
    In: Proceedings IEEE, Institute of Electrical and Electronics Engineers, 9th International Conference on Information Visualisation: July 6-8, 2005, pp. 488-493.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    URI
    http://hdl.handle.net/2436/37153
    DOI
    10.1109/IV.2005.53
    Additional Links
    http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1509120http://www.wlv.ac.uk/Default.aspx?page=16132
    Type
    Conference contribution
    Language
    en
    ISSN
    1550-6037
    ISBN
    0-7695-2397-8
    ae974a485f413a2113503eed53cd6c53
    10.1109/IV.2005.53
    Scopus Count
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    Faculty of Arts

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