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    A System for Using Perceiver Input to Vary the Quality of Generative Multimedia Performances

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    jeff_byron_a_200512_phd.pdf (1.755Mb)
    Date
    2005-09-15
    Author
    Jeff, Byron A.
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    Abstract
    Generative Multimedia (GM) applications are an increasingly popular way to implement interactive media performances. Our contributions include creating a metric for evaluating Generative Multimedia performances, designing a model for accepting perceiver preferences, and using those preferences to adapt GM performances. The metric used is imprecision, which is the ratio of the actual computation time of a GM element to the computation time of a complete version of that GM element. By taking a perceiver's preferences into account when making adaptation decisions, applications can produce GM performances that meet soft real-time and resource constraints while allocating imprecision to the GM elements the perceiver least cares about. Compared to other approaches, perceiver-directed imprecision best allocates impreciseness while minimizing delay.
    URI
    http://hdl.handle.net/1853/7492
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    • College of Computing Theses and Dissertations [1191]
    • Georgia Tech Theses and Dissertations [23877]

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