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dc.contributor.authorJeff, Byron A.en_US
dc.date.accessioned2006-01-18T22:16:02Z
dc.date.available2006-01-18T22:16:02Z
dc.date.issued2005-09-15en_US
dc.identifier.urihttp://hdl.handle.net/1853/7492
dc.description.abstractGenerative 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.en_US
dc.format.extent1840882 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectAdaptive systemsen_US
dc.subjectAutonomic systems
dc.subjectSoft real-time
dc.subjectMultimedia
dc.subject.lcshInteractive multimedia Evaluationen_US
dc.subject.lcshMultimedia systems Evaluationen_US
dc.subject.lcshAdaptive control systemsen_US
dc.titleA System for Using Perceiver Input to Vary the Quality of Generative Multimedia Performancesen_US
dc.typeDissertationen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentComputingen_US
dc.description.advisorCommittee Chair: Schwan, Karsten; Committee Member: Ahamad, Mustaque; Committee Member: Howe, W. Gerry; Committee Member: Ramachandran, Kishore; Committee Member: Yalamanchili, Sudhakaren_US


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