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QuEST for Information Fusion in Multimedia Reports

Erik P. Blasch, Steven K. Rogers, Hillary Holloway, Jorge Tierno, Eric K. Jones, Riad I. Hammoud

Source Title: International Journal of Monitoring and Surveillance Technologies Research (IJMSTR)2(3)

ISSN: 2166-7241|EISSN: 2166-725X|EISBN13: 9781466655751|DOI: 10.4018/IJMSTR.2014070101

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MLA

Blasch, Erik P., et al. "QuEST for Information Fusion in Multimedia Reports." IJMSTR vol.2, no.3 2014: pp.1-30. http://doi.org/10.4018/IJMSTR.2014070101

APA

Blasch, E. P., Rogers, S. K., Holloway, H., Tierno, J., Jones, E. K., & Hammoud, R. I. (2014). QuEST for Information Fusion in Multimedia Reports. International Journal of Monitoring and Surveillance Technologies Research (IJMSTR), 2(3), 1-30. http://doi.org/10.4018/IJMSTR.2014070101

Chicago

Blasch, Erik P., et al. "QuEST for Information Fusion in Multimedia Reports," International Journal of Monitoring and Surveillance Technologies Research (IJMSTR) 2, no.3: 1-30. http://doi.org/10.4018/IJMSTR.2014070101

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Abstract

Qualia-based Exploitation of Sensing Technology (QuEST) is an approach to create a cognitive exoskeleton to improve human-machine decision quality. In this paper, the authors present QuEST-motivated man-machine information fusion with an example for multimedia narratives. User-based situation awareness includes both elements of external sensory perception and internal cognitive explanation. The authors outline QuEST elements and tenets towards a reasoning approach that achieves human intelligence amplification (IA) in relation to data aggregation from machine artificial intelligence (AI). In a use case example for multimedia exploitation, they showcase the need for enhanced understanding of the man (mind-body cognition) and the machine (sensor-based reasoning) for establishing a cohesive narrative of situational activities. QuEST tenets of structurally coherent, situated conceptualization, and simulated experience are utilized in organizing multimedia reports of Video Event Segmentation by Text (VEST).

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QuEST for Information Fusion in Multimedia Reports

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