With the digitization of modern cities, large data volumes and powerful computational
resources facilitate the rapid update of intelligent models deployed in smart cities. Continual …

Standardized lossy video coding is at the core of almost all real-world video processing
pipelines. Rate control is used to enable standard codecs to adapt to different network …

Resource-constrained hardware such as edge devices or cell phones often rely on cloud
servers to provide the required computational resources for inference in deep vision models …

The falling cost of IoT cameras, the advancement of AI-based computer vision algorithms,
and powerful hardware accelerators for deep learning have enabled the widespread …

Real-time video analytics services aim to provide users with accurate recognition results
timely. However, existing studies usually fall into the dilemma between reducing delay and …

With the uptake of intelligent data-driven applications, edge computing infrastructures
necessitate a new generation of admission control algorithms to maximize system …

Video analytics at mobile edge servers offers significant benefits like reduced response time
and enhanced privacy. However, guaranteeing various quality-of-service (QoS) …

V2X (Vehicle-to-everything) communication has garnered much attention in propelling the
Internet of Vehicles (IoV) to seek shelter for many mission-critical edge-based applications in …

The core concepts of edge intelligence have intensified and are permeating into edge
computing analytical frameworks, with practical application in 6G and other beyond 5G …

The falling cost of cameras, the advancement of AI based computer vision algorithms, and
powerful hardware accelerators for deep learning have enabled wide-spread deployment of …