Modular design of media retrieval workflows using ARIA

Authors:
Lina Peng;Gisik Kwon;Yinpeng Chen;K. Selçuk Candan;Hari Sundaram;Karamvir Chatha;Maria Luisa Sapino
Affiliations:
Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;Arizona State University, Tempe, AZ;University of Torino, Italy
Venue:
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Year:
2006

Citing 4
Cited 2

ARIA: an adaptive and programmable media-flow architecture for interactive arts

Proceedings of the 12th annual ACM international conference on Multimedia
Confidence-driven early object elimination in quality-aware sensor workflows

DMSN '05 Proceedings of the 2nd international workshop on Data management for sensor networks
Media processing workflow design and execution with ARIA

Proceedings of the 13th annual ACM international conference on Multimedia
Optimization of media processing workflows with adaptive operator behaviors

Multimedia Tools and Applications

Performance Analysis of the ARIA Adaptive Media Processing Workflows using Colored Petri Nets

Electronic Notes in Theoretical Computer Science (ENTCS)
Ozone: continuous state-based media choreography system for live performance

Proceedings of the international conference on Multimedia

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this demo, we present the use of the ARIA platform for modular design of media processing and retrieval applications. ARIA is a middleware for describing and executing media processing workflows to process, filter, and fuse sensory inputs and actuate responses in real-time. ARIA is designed with the goal of maximum modularity and ease of integration of a diverse collection of media processing components and data sources. Moreover, ARIA is cognizant of the fact that various media operators and data structures are adaptable in nature; i.e, the delay, size, and quality/precision characteristics of these operators can be controlled via various parameters. In this demo, we present the ARIA design interface in different image processing and retrieval scenarios.