To cope with the high resource (network and compute) demands of real-time video analytics
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …

Video analytics applications use edge compute servers for processing videos. Compressed
models that are deployed on the edge servers for inference suffer from data drift where the …

Future wireless networks will provide high-bandwidth, low-latency, and ultra-reliable Internet
connectivity to meet the requirements of different applications, ranging from virtual reality to …

With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

This paper focuses on COSMOS-Cloud enhanced Open Software defined MObile wireless
testbed for city-Scale deployment. The COSMOS testbed is being deployed in West Harlem …

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 …

Cameras are deployed at scale with the purpose of searching and tracking objects of
interest (eg, a suspected person) through the camera network on live videos. Such cross …

Trustworthy and real-time video surveillance aims to analyze the live camera streams in a
privacy-preserving manner for the decision-making of various advanced services, such as …

Edge intelligence (EI) is becoming one of the research hotspots among researchers, which
is believed to help empower intelligent transportation systems (ITS). ITS generates a large …

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 …