Probability Fusion for Correlated Multimedia Streams

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Probability Fusion for Correlated Multimedia Streams

Probability Fusion for Correlated Multimedia Streams

Contributed by Morgan Fritz on 03 Apr 2014

Pradeep K. Atrey and Mohan S. Kankanhalli. 2004. Probability fusion for correlated multimedia streams. In Proceedings of the 12th annual ACM international conference on Multimedia(MULTIMEDIA '04). ACM, New York, NY, USA, 408-411. DOI=10.1145/1027527.1027624 http://doi.acm.org/10.1145/1027527.1027624 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.


Read more at http://dl.acm.org/citation.cfm?id=1027624

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