… In this section, we illustrate a case study of edge video analytics using Firework … nodes
including camera, edge node, cloud node, and remote user. We deploy the edge video analytics …

… a sensor to capture video and perform video analytics to count … with the edge node performs
real-time video processing for … data is sent from the edge node to the LoRaWAN gateway, …

… edge video analytics. Problems. Although GPU computation resources are holistically
constrained on edge … become a primary bottleneck in edge video analytics for three main reasons. …

… video analytics applications have different characteristics from other applications. We conduct
a breakdown analysis of the memory states of video analytics … a video analytics application …

… video analytics, components of IoT edge systems, and the challenges of using edge computing
for streaming video analytics… of edge nodes using virtual machines, video workloads from …

… We propose an optimal resource allocation for front–edge–cloud ends to maximize the
overall video analytics performance in real time. The solution is applicable to many smart city …

… The edge node and the high-performance server were connected via Ethernet, and the
videos were transmitted under the following channel bandwidths: 500 kbps, 2000 kbps, 5000 …

… Our key insight is that, video analytics tasks should be adaptively distributed to edge
devices… Finally, we show video analytics workloads are not static; instead, they are time-varying, …

… key to edge video analytics applications: (1) high inference … 2Different video analytics
applications may have different ob… Instead of evaluating performance of a video analytics pipeline …

… of cost, human labeling and edge storage. The former comes … edge video analytics system
by incorporating an active learner mechanism. Specifically, we revisit the current CL video …