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

Adaptive systems;Autonomic systems;Soft real-time;Multimedia

Jeff, Byron A. ; Computing

University:Georgia Institute of Technology

Department:Computing

关键词: Adaptive systems;    Autonomic systems;    Soft real-time;    Multimedia;   

Others  :  https://smartech.gatech.edu/bitstream/1853/7492/1/jeff_byron_a_200512_phd.pdf

美国|英语

来源: SMARTech Repository

【 摘 要 】

Generative Multimedia (GM) applications are an increasingly popular way toimplement interactive media performances.Our contributions include creating a metric for evaluating GenerativeMultimedia performances, designing a model for accepting perceiverpreferences, and using those preferences to adapt GM performances.The metric used is imprecision, which is the ratio of theactual computation time of a GM element to the computation time of acomplete version of that GM element.By taking a perceiver'spreferences into account when making adaptation decisions, applicationscan produceGM performances that meet soft real-timeand resource constraints while allocating imprecision to the GM elementsthe perceiver least cares about.Compared to other approaches, perceiver-directed imprecision best allocatesimpreciseness while minimizing delay.