Video analytics is widespread in various applications serving our society. Recent advances
of content enhancement in video analytics offer significant benefits for the bandwidth saving …

Deep learning-based video analytics is computation-intensive. Manufacturers such as
Nvidia have launched many embedded deep learning accelerators and are rapidly gaining …

End-edge collaborative inference enhances computational efficiency by segmenting a deep
neural network (DNN) model into two parts, executed across the end device and the edge …

Serverless edge computing is an efficient way to execute event-driven, short-duration, and
bursty IoT data processing tasks on resource-limited edge servers, using on-demand …

Large Multimodal Models (LMMs) have shown significant progress in various complex vision
tasks with the solid linguistic and reasoning capacity inherited from large language models …

With the development of the Internet of Things and artificial intelligence, the deployment and
inference of intelligent models have gradually raised concerns. To reduce the huge …

Real-time video analytics systems typically place models with fewer weights on edge
devices to reduce latency. The distribution of video content features may change over time …