摘要实时视频流分析在智能监控, 智慧城市, 自动驾驶等场景中具有重要价值. 然而计算负载高,
带宽需求大, 延迟要求严等特点使得实时视频流分析难以通过传统的云计算范式进行部署 …

The increasing digitalization in the traffic infrastructure offers a great potential to optimize
traffic flows, to save costs, and to improve the CO2 balance. Achieving this requires the use …

Edge computing has been getting a momentum with ever-increasing data at the edge of the
network. In particular, huge amounts of video data and their real-time processing …

Edge computing has opened new doors for real-time video analytics applications due to its
ability to offer significantly faster response times by processing videos near the source …

科学技术的快速发展, 使万物互联设想不再仅仅停留在人们的概念中. 随着接入无线网的智能
设备数量的快速增长, 边缘数据量已达到ZB 级别, 给核心网络带宽造成巨大压力; 与此同时 …

Along the trend pushing computation from the network core to the edge where the most of
data are generated, edge computing has shown its potential in reducing response time …

Real-time stream processing applications, such as radios, can often be modeled intuitively
with dataflow models. Given the Worst-Case Execution Times (WCETs) of the tasks, which …

Video analytics will drive a wide range of applications with great potential to impact society.
A geographically distributed architecture of public clouds and edges that extend down to the …

This article introduces a novel distributed model for handling in real-time, edge-based
Artificial Intelligence analytics, such as the ones required for smart video surveillance. The …

Live video analytics have become a key technology to support surveillance, security, traffic
control, and even consumer multimedia applications in real time. The continuous growth in …