Abstract

In the event of natural or man-made disasters, providing rapid situational awareness through video/image data collected at salient incident scenes is often critical to first responders. Scalable processing of media-rich visual data and the subsequent visualization with high user Quality of Experience (QoE) demands new cloud computing and thin-client desktop delivery approaches. In this paper, we describe an incident-supporting visual cloud computing solution for a regional-scale application for tracking objects in aerial full motion video and large scale wide-area motion imagery. We provision fog computing at the network-edge coupled with cloud offloading to a public cloud, utilizing software-defined networking (SDN).