Nov 28, 2022 · We provide a comprehensive survey of the recent efforts on EVA. In this paper, we first review the fundamentals of edge computing, followed by an overview of ...
This trend is spurred by the rapid advancement of deep learning (DL), which enables more precise models for object classification, detection, and tracking.
Mar 25, 2023 · Ali et al. [59] proposed a deep learning pipeline that utilizes resources at the edge, in-transit, and cloud to achieve low latency, ...
This trend is spurred by the rapid advancement of deep learning (DL), which enables more precise models for object classification, detection, and tracking.
People also ask
What is edge based video analytics?
What is edge detection in deep learning?
This paper surveys state-of-the-art works on edge-based video analytics with respect to applications, architectures, techniques, resource management, ...
People also search for
In this work, we design a framework that ties together front-end devices with more powerful backend “helpers” (eg, home servers)
Aug 3, 2023 · This paper presents a comprehensive review of more than 30 research papers published over the last 6 years on edge video analytics systems.
Video analytics powered by machine learning lets information captured by CCTV cameras be applied to a range of use cases that range from traditional roles such ...
Missing: Survey. | Show results with:Survey.
[PDF] A Mobile Deep Learning Framework for Edge Video Analytics
www.cs.ucr.edu › ~jiasi › pub › de...
Apr 24, 2018 · Abstract—Deep learning shows great promise in providing more intelligence to augmented reality (AR) devices, but few AR.
This paper presents a comprehensive survey of recent advances in models, architectures, hardware, and design requirements for deploying machine learning on low ...