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Media processing workflow design and execution with ARIA

Published: 06 November 2005 Publication History

Abstract

Recently, we introduced a novel ARchitecture for Interactive Arts (ARIA) middleware that processes, filters, and fuses sensory inputs and actuates responses in real-time while providing various Quality of Service (QoS) guarantees. The objective of ARIA is to incorporate realtime, sensed, and archived media and audience responses into live performances, on demand. An ARIA media workflow graph describes how the data sensed through media capture devices will be processed and what audio-visual responses will be actuated. Thus, each data 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 [1, 4, 5], we developed static and dynamic optimization algorithms which maximize the quality of the actuated responses, minimize the corresponding delay and the resource usage. In this demonstration, we present the ARIA GUI and the underlying kernel. More specifically, we describe how to design a media processing workflow, with adaptive operators, using the ARIA GUI and how to use the various optimization and adaptation alternatives provided by the ARIA kernel to execute media processing workflows.

References

[1]
K.S. Candan, L. Peng, K.D. Ryu, K.S. Chatha and C. Mayer. Efficient Stream Routing in Quality- and Resource-Adaptive Flow Architectures. Multimedia Information Systems (MIS), 2004.
[2]
L. Peng, K.S. Candan, K.D. Ryu, K.S. Chatha and H. Sundaram. ARIA: An Adaptive and Programmable Media-flow Architecture for Interactive Arts.ACM MM Arts Program, 2004.
[3]
L. Peng and K. S. Candan, Adaptive Multi-Sensor, Multi-Actuator Media Workflow System for Interactive Arts.Workshop on Managing Data for Emerging Multimedia Applications (EMMA), 2005.
[4]
L. Peng, K.S. Candan, C. Mayer, K.D. Ryu and K.S. Chatha. Optimization of Media Processing Workflows with Adaptive Operator Behaviors.to appear in Multimedia Tools and Applications, Kluwer.
[5]
L. Peng and K. S. Candan. Confidence-driven Early Object Elimination in Quality-Aware Sensor Workflows. 2nd International VLDB Workshop on Data Management for Sensor Networks (DMSN), 2005.

Cited By

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  • (2009)Performance Analysis of the ARIA Adaptive Media Processing Workflows using Colored Petri NetsElectronic Notes in Theoretical Computer Science (ENTCS)10.1016/j.entcs.2009.02.050232(55-73)Online publication date: 1-Mar-2009

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cover image ACM Conferences
MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
November 2005
1110 pages
ISBN:1595930442
DOI:10.1145/1101149
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2005

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Author Tags

  1. filtering
  2. fusion
  3. multimedia
  4. multimodal art
  5. realtime sensory/reactive environments
  6. tools for creating interactive

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MM05

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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View all
  • (2009)Performance Analysis of the ARIA Adaptive Media Processing Workflows using Colored Petri NetsElectronic Notes in Theoretical Computer Science (ENTCS)10.1016/j.entcs.2009.02.050232(55-73)Online publication date: 1-Mar-2009

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