Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance
systems, enabling the temporal or spatial identification of anomalous events within videos …

Abstract Video Anomaly Detection (VAD) aims to automatically identify unexpected spatial–
temporal patterns to detect abnormal events in surveillance videos. Existing unsupervised …

Video anomaly detection is an essential yet challenging task in the multimedia community,
with promising applications in smart cities and secure communities. Existing methods …

Modern network communication systems extensively utilize video data for various
applications, creating a pressing need for efficient Video Anomaly Detection (VAD) …

The development of modern manufacturing has raised greater demands on the accuracy,
response speed, and operating cost of industrial accident warnings. Compared to …

This study presents a newly developed edge computing platform designed to enhance
connectivity between edge devices and the cloud in the agricultural sector. Addressing the …

To alleviate the burden on the core network, edge computing has rapidly advanced to
support distributed computing. However, as sensitive information is delegated to the edge …

In the realm of mobile edge computing, enhancing Quality of Service (QoS) and security
remains a pivotal challenge. Traditional approaches often struggle to balance computational …