The world is witnessing an unprecedented increase in camera deployment. The USA and
UK, for instance, have one camera for every 8 people. Video analytics from these cameras …

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 …

Driven by advances in computer vision and the falling costs of camera hardware,
organizations are deploying video cameras en masse for the spatial monitoring of their …

Many private and public organizations deploy large numbers of cameras, which are used in
application services for public safety, healthcare, and traffic control. Recent advances in …

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 …

With the installation of enormous public safety and transportation infrastructure cameras,
video analytics has come to play an essential part in public safety. Typically, video analytics …

In smart city scenarios, the huge proliferation of monitoring cameras scattered in public
spaces has posed many challenges to network and processing infrastructure. A few dozen …

Analyzing video feeds from large camera networks requires enormous compute and
bandwidth. Edge computing has been proposed to ease the burden by bringing resources to …

Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

Advanced vision analytics plays a key role in a plethora of real-world applications.
Unfortunately, many of these applications fail to leverage the abundant compute resource in …