… sensors (cameras) and the cloud/edge servers do not always provide sufficient and stable
… This paper presents CloudSeg, an edge-to-cloud framework for advanced vision analytics …

… , and offload a part of the sub-tasks to nearby edge servers. For the offloaded sub-tasks, we
assume that the edge server is equipped with one GPU, so the same sub-tasks from different …

… Image processing solutions range from traditional computer vision algorithms to the more …
vision tasks. Among the advantages of CNNs in comparison with traditional computer vision …

… Edge-assisted AR supports high-quality AR on … edge servers to perform heavy vision tasks.
Since the result of an offloaded frame may not come back in the same frame interval, edge-…

… computer vision algorithms. Works such as [8] have shown that cloud server offloading can
… of a given processing task onto edge servers, and other parts of the task run on user devices…

… IoT systems integrate image processing, computer vision and network capabilities, and have
… video task, edge nodes transmit the results to the server via cellular links. Finally, the server …

… With the upcoming 5G network that features mobile edge … tasks to powerful edge servers
close to the clients. Briefly, IoT devices can stream captured video/image source to edge servers…

… The proposed framework is consisting of Raspberry Pi device as edge server to acquire data
stream connected to IIoT network. The edge server used for screening is model B (version 3…

… present an Edge Computing system … tasks such as inferencing a convolutional neural
network(CNN) into two parts, which are executed locally on an IoT device and/or on the edge server…

… To this end, we take a desktop PC to emulate the edge server, which … The available bandwidth
between the edge server and the … to fully accomplish the vision of intelligent edge service. …