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

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jeff_byron_a_200512_phd.pdf (1.76 MB)
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Jeff, Byron A.
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http://hdl.handle.net/1853/7492
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.
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2005-09-15
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1840882 bytes
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Dissertation
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