Spatio-temporal event stream processing in multimedia communication systems

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.