Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks
- 6 July 2005
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1549-1552
- https://doi.org/10.1109/icme.2005.1521729
Abstract
International audienceThe ever-increasing complexity of generic multimedia-content-analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra framework. The combination of state-of-the-art network and grid-computing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations. It enables distributed computing scenario simulations for e.g. distributed content analysis (DCA) across consumer electronics (CE) in-home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework's modular nature-logical MCA units are wrapped into so-called service units (SU)-ease the split between system-architecture- and algorithmic-related work and additionally facilitate reusability, extensibility and upgrade ability of those SUKeywords
This publication has 4 references indexed in Scilit:
- Rapid object detection using a boosted cascade of simple featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Comparison of Shot Boundary DetectorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Face related features in consumer electronic (CE) device environmentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004