Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-13818-8_41
Title: Spatio-temporal event stream processing in multimedia communication systems
Authors: Gao, M.
Yang, X.
Jain, R.
Ooi, B.C. 
Issue Date: 2010
Source: Gao, M.,Yang, X.,Jain, R.,Ooi, B.C. (2010). Spatio-temporal event stream processing in multimedia communication systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6187 LNCS : 602-620. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-13818-8_41
Abstract: Emerging multimedia communication environments, such as Environment-to-Environment (E2E) systems, require detecting complex events in environments using multimodal sensory data. Based on these spatio-temporal events, systems select and send data from appropriate sensors. Most existing stream processing systems consider temporal streams of alpha-numeric data and provide efficient approach to deal with queries in these environments. In cases where events are detected in different sensory data types, including audio and video collected at different locations, new approaches need to be developed to represent, combine, and process events to answer queries. In this paper, we present our approach in managing event stream processing to address the needs of a real time E2E system being developed in our laboratory. We introduce the modeling of our problem, and describe in detail the filtering and matching algorithms for querying spatio-temporal event stream. Experimental results demonstrate the efficacy and efficiency of our approach. © 2010 Springer-Verlag Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/41142
ISBN: 3642138179
ISSN: 03029743
DOI: 10.1007/978-3-642-13818-8_41
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