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.
This research is funded by NSF grant # 0308268, “Quality-Adaptive Media-Flow Architectures to Support Sensor Data Management.”
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Peng, L. et al. (2006). Modular Design of Media Retrieval Workflows Using ARIA. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_51
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DOI: https://doi.org/10.1007/11788034_51
Publisher Name: Springer, Berlin, Heidelberg
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