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2004
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Probability fusion for correlated multimedia streams

8 years 9 months ago
Probability fusion for correlated multimedia streams
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. Categories and Subject Descriptors H.5.1 [Multimedia Information Systems]: Methodology General Terms Algorithms, Theory Keywords Correlated probability, Experiential sampling, Information fusion
Pradeep K. Atrey, Mohan S. Kankanhalli
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where MM
Authors Pradeep K. Atrey, Mohan S. Kankanhalli
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