Modeling adaptive media processing workflows

被引:3
|
作者
Candan, K. Selcuk [1 ]
Kwon, Gisik
Peng, Lina
Sapino, Maria Luisa
机构
[1] Arizona State Univ, Dept Comp Sci & Engn, Tempe, AZ 85287 USA
[2] Univ Turin, Dept Informat, Turin, Italy
关键词
D O I
10.1109/ICME.2006.262473
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
ARIA, ARchitecture for Interactive Arts, is a middleware to process, filter, and fuse sensory inputs and actuate responses in real-time. An ARIA media processing workflow describes how the data sensed through media will be processed and What audio-visual responses will be actuated. Each object streamed between ARIA processing components is subject to transformations, as described by a media workflow graph. The media capture and processing components, such as media filters and fusion operators, are programmable and adaptable; Le, the delay, size, frequency, and quality/precision characteristics of individual operators can be controlled via a number of parameters. In this paper, we present the underlying model which captures the dynamic nature of the ARIA media processing workflows. This model enables design time verification, optimization, and runtime adaptation.
引用
收藏
页码:573 / 576
页数:4
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