Quality-driven human-centered approach for service provisioning in ambient environment
HCC '08 Proceedings of the 3rd ACM international workshop on Human-centered computing
A Novel real time voice quality testing model for VoIP ambience environment in wireless LAN
COMSNETS'09 Proceedings of the First international conference on COMmunication Systems And NETworks
Modeling and assessing quality of information in multisensor multimedia monitoring systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Modeling the information completeness of object tracking systems
The Journal of Strategic Information Systems
Data and Information Quality Issues in Ambient Assisted Living Systems
Journal of Data and Information Quality (JDIQ)
On the quality and value of information in sensor networks
ACM Transactions on Sensor Networks (TOSN)
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Current surveillance systems use multiple sensors and media processing techniques in order to record/detect information of interest in terms of events. Assessing the quality of information (QoI) of a surveillance system is an important task as any misleading information may lead to suspicion, undesired consequences, and unwanted invasion of privacy. In this paper, we propose a model to characterize QoI in multi-sensor surveillance systems in terms of four quality parameters, which are: accuracy, certainty, time-liness and integrity. The proposed model is extendable to include other quality parameters if deemed necessary for different task-specific scenarios, such as the ambient intelligence environment, which aims to provide context-aware personalized services to the poeple living in that environment. To demonstrate the utility of the proposed method, we provide experimental results in a surveillance system designed for identifying authorized entry in the observation area.