… In current approaches, different camera nodes use an identical model for a specific task.
We argue that we could get near realtime video analytics by redesigning current models as co-…

… computing alleviates data transfer latency by processing data on local edge nodes rather …
the convergence of video analytics and edge computing, namely, edge video analytics (EVA). …

… The Vigil architecture is designed to enable basic vision analytics tasks to be performed
at the edge nodes, which are connected to camera devices. To reduce the transmission …

… Unless otherwise specified, we consider an IoT augmented reality application where part
of IoT video frames is processed on edge nodes. This would represent those application …

… video streams, which are connected to the same edge node … in edge-based video analytics
systems, including edge … variation, intrusive dynamics of video contents. Our algorithm …

… video streams, which are connected to the same edge node … in edge-based video analytics
systems, including edge … variation, intrusive dynamics of video contents. Our algorithm …

… usage of GPU on edge nodes. Nonetheless, … edge nodes are commonly under-utilized
due to video content variations, subsampling and filtering at different places of a video analytics …

… Each IoT device (edge nodes) contains cameras equipped with the NVIDIA AGX Xavier [9]
embedded platform, running a deep-learning-based video analytics pipeline, for real-time …

… The hardware specifications of the edge node and video analytics server are listed in
Table 1. Note that the two devices are directly connected to a router using a wired cable. …

… with edge nodes (… -edge-cloud collaborative industrial video analytics architecture. In
industrial environments, multiple cameras are deployed to monitor different areas and collect video …