Context-Based Multimedia Sensor Selection Method

Modern multimedia systems have large number of sensors spread across a wide area. In a time-shared multimedia system, many people will be making queries to the system simultaneously which requires sharing of computing resources. In such scenarios, processing information from all the sensors for each query will make the system inefficient. Considering the fact that only few sensors provide information relevant to the query, we can reduce the cost incurred in query evaluation by efficiently selecting a subset of sensors to be processed without compromising the system performance. This paper demonstrates a two-stage sensor selection method which uses contextual information and confidence in individual sensors to select sensors which provide more reliable answers to the queries.