Experience based sampling technique for multimedia analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Timeline-based information assimilation in multimedia surveillance and monitoring systems
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Multimedia simplification for optimized MMS synthesis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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The fusion of multiple correlated observations of a multimedia system is a research problem arising in many multimedia applications. In this paper, we propose a novel framework for the probabilistic fusion of correlated multimedia observations. Assuming that each of the media stream has a priori probability of achieving the goal and their underlying correlations are known, our framework fuses the individual probabilities using the quantitative correlation based on a Bayesian approach. The simulation results show that fewer highly-positively-correlated observations better achieve a specified goal when compared to the use of a larger number of observations with low correlation.