DocumentCode :
2953328
Title :
Modeling Adaptive Media Processing Workflows
Author :
Candan, K. Selcuk ; Kwon, Gisik ; Peng, Lina ; Sapino, Maria Luisa
Author_Institution :
Comput. Sci. & Eng. Dept., Arizona State Univ., Tempe, AZ
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
573
Lastpage :
576
Abstract :
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; i.e, 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
Keywords :
graph theory; interactive systems; media streaming; middleware; multimedia computing; adaptive media processing workflow modeling; audio-visual response; interactive arts architecture; media capture component; media processing component; media workflow graph; middleware; object streaming; Art; Delay; Design optimization; Filters; Frequency; Fuses; Middleware; Runtime; Size control; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262473
Filename :
4036664
Link To Document :
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