Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Modeling and assessing quality of information in multisensor multimedia monitoring systems

Modeling and assessing quality of information in multisensor multimedia monitoring systems Modeling and Assessing Quality of Information in Multisensor Multimedia Monitoring Systems M. ANWAR HOSSAIN, King Saud University PRADEEP K. ATREY, University of Winnipeg ABDULMOTALEB EL SADDIK, University of Ottawa Current sensor-based monitoring systems use multiple sensors in order to identify high-level information based on the events that take place in the monitored environment. This information is obtained through low-level processing of sensory media streams, which are usually noisy and imprecise, leading to many undesired consequences such as false alarms, service interruptions, and often violation of privacy. Therefore, we need a mechanism to compute the quality of sensor-driven information that would help a user or a system in making an informed decision and improve the automated monitoring process. In this article, we propose a model to characterize such quality of information in a multisensor multimedia monitoring system in terms of certainty, accuracy/con dence and timeliness. Our model adopts a multimodal fusion approach to obtain the target information and dynamically compute these attributes based on the observations of the participating sensors. We consider the environment context, the agreement/disagreement among the sensors, and their prior con dence in the fusion process in determining the information of interest. The proposed method is http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) Association for Computing Machinery

Modeling and assessing quality of information in multisensor multimedia monitoring systems

Download PDF
30 pages

Loading next page...
 
/lp/association-for-computing-machinery/modeling-and-assessing-quality-of-information-in-multisensor-9LIvKV4qK2
Publisher
Association for Computing Machinery
Copyright
Copyright © 2011 by ACM Inc.
ISSN
1551-6857
DOI
10.1145/1870121.1870124
Publisher site
See Article on Publisher Site

Abstract

Modeling and Assessing Quality of Information in Multisensor Multimedia Monitoring Systems M. ANWAR HOSSAIN, King Saud University PRADEEP K. ATREY, University of Winnipeg ABDULMOTALEB EL SADDIK, University of Ottawa Current sensor-based monitoring systems use multiple sensors in order to identify high-level information based on the events that take place in the monitored environment. This information is obtained through low-level processing of sensory media streams, which are usually noisy and imprecise, leading to many undesired consequences such as false alarms, service interruptions, and often violation of privacy. Therefore, we need a mechanism to compute the quality of sensor-driven information that would help a user or a system in making an informed decision and improve the automated monitoring process. In this article, we propose a model to characterize such quality of information in a multisensor multimedia monitoring system in terms of certainty, accuracy/con dence and timeliness. Our model adopts a multimodal fusion approach to obtain the target information and dynamically compute these attributes based on the observations of the participating sensors. We consider the environment context, the agreement/disagreement among the sensors, and their prior con dence in the fusion process in determining the information of interest. The proposed method is

Journal

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) – Association for Computing Machinery

Published: Jan 1, 2011

There are no references for this article.