Modular design of media retrieval workflows using ARIA

Lina Peng, Gisik Kwon, Yinpeng Chen, K. Selçuk Candan, Hari Sundaram, Karamvir Chatha, Maria Luisa Sapino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationImage and Video Retrieval - 5th International Conference, CIVR 2006, Proceedings
PublisherSpringer
Pages491-494
Number of pages4
ISBN (Print)3540360182, 9783540360186
DOIs
StatePublished - 2006
Externally publishedYes
Event5th International Conference on Image and Video Retrieval, CIVR 2006 - Tempe, AZ, United States
Duration: Jul 13 2006Jul 15 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4071 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Image and Video Retrieval, CIVR 2006
Country/TerritoryUnited States
CityTempe, AZ
Period7/13/067/15/06

Keywords

  • Image retrieval
  • Media retrieval workflows
  • Modular design

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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