As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications
depends on their smoothness and immersiveness. Modern AR applications applying …

Earth observation satellites, in low Earth orbits, are increasingly approaching near-
continuous imaging of the Earth. Today, these satellites capture an image of every part of …

The edge-cloud collaboration architecture can support Deep Neural Network-based (DNN)
video analytics with low inference delays and high accuracy. However, the video analytics …

The growth of video volumes and increased DNN capabilities have led to a growing desire
for video analytics, which demands intensive computation resources. Traditional resource …

Deep Neural Network (DNN) based video analytics empowers many computer vision-based
applications to achieve high recognition accuracy. To reduce inference delay and bandwidth …

Real-time edge-cloud video analytics systems have been widely used to support such
applications as traffic counting, surveillance, autonomous driving, Metaverse, etc. In such a …

We investigate an edge-computing scenario for robot control, where two similar neural
networks are running on one computational node. We test the feasibility of using a single …

Edge computing is being widely used for video analytics. To alleviate the inherent tension
between accuracy and cost, various video analytics pipelines have been proposed to …