Vision is the most important sense for people, and it is also one of the main ways of
cognition. As a result, people tend to utilize visual content to capture and share their life …

This paper reviews the state of the art in visual privacy protection techniques, with particular
attention paid to techniques applicable to the field of Active and Assisted Living (AAL). A …

Large Language Models (LLMs) are transforming the landscape of mobile intelligence.
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …

Mobile-edge computing (MEC) is a new computing paradigm that enables cloud computing
and information technology (IT) services to be delivered at the network's edge. By shifting …

This paper presents CellFusion, a system designed for high-quality, real-time video
streaming from vehicles to the cloud. It leverages an innovative blend of multipath QUIC …

With the large-scale deployment of the Internet of Things (IoT) in daily life, more and more
privacy data are collected by IoT devices. These data are not directly physically controlled by …

Deep learning models are increasingly deployed to edge devices for real-time applications.
To ensure stable service quality across diverse edge environments, it is highly desirable to …

Deep learning–based video analytics demands high network bandwidth to ferry the large
volume of data when deployed on the cloud. When incorporated at the edge side, only …

Analytics on video recorded by cameras in public areas have the potential to fuel many
exciting applications, but also pose the risk of intruding on individuals' privacy …

Recent advancements in artificial intelligence (AI) have seen the emergence of smart video
surveillance (SVS) in many practical applications, particularly for building safer and more …