… In this case, we do not consider the cost of an edge … optimally deploy video analytics on
edge devices. In real-life applications, the end-users should consider the price range of all edge …

… We aim to find the most suitable video analytics … perfect, we believe that it is a reasonable
and valuable step towards studying content-aware adaptive video analytics in the edge …

… Although our model is not perfect, we believe that it is a reasonable and valuable step
towards studying contentaware adaptive video analytics in the edge environment. …

… in joint resource allocation, required metrics, and the proposed methods while this article
provides an optimal solution in a cloud-edge architecture by compensating those weaknesses. …

… of a video analytics system (§3). • We formulate the task offloading problem as a nonsmooth,
non-convex and constrained optimization … video analytic system while resolving the optimal …

… edge-based Artificial Intelligence analytics, such as the ones required for smart video
surveillance… for proposing the optimal setup of the VFC while an edgelearning service monitors the …

… edge servers for processing. By leveraging the on-device processing and computation offloading,
we propose a federated video analytics … However, to our best knowledge, none of them …

… devices capture video frames and transmit them to an edge server that … best of our
knowledge, this is the first time an AutoML framework is used to configure a video edge analytics …

… We have utilized an edge- rst design and formulated an optimization problem for o oading
… edge analytic applications, in this paper, we focus on delivering video analytics at the edge. …

… for live video analysis. It is ideal to analyze the live video stream locally if possible. …
Contributions: i) We propose an edge service framework for real-time video analytics applications — …