Videos are projected to account for roughly 80% of global mobile data traffic by 2028. Many
camera-equipped mobile devices, such as surveillance drones, require realtime video …

Most camera-based mobile devices require ultra low-latency video analytics such as object
detection and action recognition. These devices face severe resource constraints, and thus …

By 2022, videos will account for 82% of global Internet traffic. Many camera-based mobile
devices, though with limited resources, require ultra low-latency video analytics such as …

Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …

Video analytics demand intensive computation resources, which means long processing
delay when running on mobile devices. Although offloading computation to the cloud can …

Large bandwidth, Low latency and intensive computing are the main challenge in high-
performance virtual reality (VR) video transmission. As mobile edge computing (MEC) can …

With the advancement of multimedia technology, 5G MBMS has become a promising
technology that makes full and effective use of network resources to provide services. Mobile …

Batteries of modern mobile devices remain severely limited in capacity, which makes energy
consumption a key concern for mobile applications, particularly for the computation …

In Mobile Edge Computing (MEC), the collaboration between end devices and servers
guarantees the low-latency and high-accuracy video stream analysis. However, such …

With the exploration of next-generation network technology, visual internet of things (VIoT)
systems impose significant computational and transmission demands on mobile edge …