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 …

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 …

With today's ubiquitous deployment of video cameras and other edge devices, progress in
edge computing is happening at an incredible speed. Yet, one aspect of real-time video …

Powered by deep learning, video analytic applications process millions of camera feeds in
real‐time to extract meaningful information from their surroundings. And this number grows …

The increasing complexity of deep learning and massive deployment of cameras at the edge
have drastically increased the resource demand of edge data analytics. Compared to …

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 …

Video cameras have been deployed at scale today. Driven by the breakthrough in deep
learning (DL), organizations that have deployed these cameras start to use DL-based …

Ubiquitous deployment of networked cameras has boosted the prevalence of video
analytics. Leveraging machines to automatically analyze captured videos has become the …

This paper examines the use of digital video in public safety and surveillance systems.
Traditionally video recordings are used by law enforcement to review events retrospectively …

Video cameras are becoming ubiquitous in our daily lives. With the recent advancement of
Artificial Intelligence (AI), live video analytics are enabling various useful services, including …