Video object detection is a fundamental technology of intelligent video analytics for Internet
of Things (IoT) applications. However, even with extraordinary detection accuracy …

Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

Edge technology aims to bring cloud resources (specifically, the computation, storage, and
network) to the closed proximity of the edge devices, ie, smart devices where the data are …

Driven by plummeting camera prices and advances of video inference algorithms, video
cameras are deployed ubiquitously and organizations usually rely on live video analytics to …

Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the
coupled data, computation, and networking resources among heterogeneous geo …

Cloud computing and edge computing models are popularly applied in emerging
applications, such as smart homes, smart parks, and connected autonomous vehicles for …

More and more Internet of Things (IoT) applications provide intelligent services, with the
development of artificial intelligence algorithms, such as deep reinforcement learning …

To fully unleash the potential of edge devices, it is popular to cut a neural network into
multiple pieces and distribute them among available edge devices to perform inference …

Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote
server helps improve battery life and can help reduce resource requirements. Deep learning …

The increasing amount of human-related and/or human-originated data in current systems is
both an opportunity and a challenge. Nevertheless, despite relying on the processing of …