… overview of video analytics before delving … video analytics platform that reuses computation
to provide highly accurate, multi-tenant video filtering for bandwidth-constrained edge nodes. …

… In case of a saturating workload on the front edge node, we have designed and compared
… edge analytic applications, in this paper, we focus on delivering video analytics at the edge. …

… a video is analyzed and which part of the workload could be offloaded to the edge, we dissect
the general video analytics … is a computationintensive task for edge nodes. Therefore, in an …

… When processing latency-sensitive video analytics tasks, edge nodes can preprocess
video data to release the burden on the network and cloud center [56], thereby improving the …

… and cloud server while emulating following system dynamics: ie, I) Heavy traffic between
the edge node and server: we inject 10 seconds of video chunks to the communication queue …

… However, in a scenario with heterogeneous edge nodes, faster edge nodes can be idle
for processing too fast. At the same time, another message waits in the queue of a lower …

… ), the offloading task selection and bandwidth allocation [14] are proposed for each single
edge node to minimize the latency of video analytics. In a single camera system, a cooperative …

… analytics. This paper presents a holistic solution for co-designing application and edge infrastructure,
including edge nodes and edge … (DL) video analytics across many cameras. For …

… [5], [25], [26] explore remote-only video analytics on the edge/cloud, whereas we focus on
client-side decisions of where to compute. Specifically, [5] considered modifying the data (…

… Edge video analytics is becoming the … video analytics pipelines (VAPs), which reduce
resource cost by combining deep neural network compression and speedup techniques with video …