The context of this study examines the requirements of Future Intelligent Networks (FIN),
solutions, and current research directions through a survey technique. The background of …

In smart cities, more and more government departments will make use of live analytics of
videos from surveillance cameras in their tasks, such as vehicle traffic monitoring and …

An increasing number of applications rely on complex inference tasks that are based on
machine learning (ML). Currently, there are two options to run such tasks: either they are …

In the current era, advancements in deep learning have seen the services and uses of
artificial intelligence (AI) flourish. From individual support and commendation structures to …

With significant potential improvement in device-to-device (D2D) communication due to
improved wireless link capacity (eg, 5G and NextG systems), a collaboration of multiple …

With the explosive growth of mobile computing and Internet of Things (IoT) applications, as
exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT …

With the exponential growth of video data, there is a pressing need for efficient video
analysis technology. Modern query frameworks aim to accelerate queries by reducing the …

Video Analytics System has emerged as a promising technology to realize deep neural
network based intelligent applications for video streams. Its objective is to maximize the …

This paper presents a real-time multi-view scheduling framework for DNN-based live video
analytics at the edge to minimize frame processing latency. The work is motivated by …

Video processing plays an essential role in a wide range of cloud-based applications. It
typically involves multiple pipelined stages, which well fits the latest fine-grained serverless …