… Distream, a distributed live video analytics system based on the smart camera-edge cluster
… -latency, high-throughput, and scalable live video analytics. The key behind the design of Dis…

… In this paper, we tackle these challenges presenting a distributed system for video analytics
… In this context, we present a distributed system for video analytics designed to leverage edge …

… The number of applications and systems for intelligent video surveillance has briskly … the
distributed environment. In this section, we explore the intelligent video surveillance frameworks …

… edge devices and the cloud. In this work, we propose an edge computing-based video analytics
… A multilayer design to distribute the processing load across the edge servers to improve …

… a video is analyzed and which part of the workload could be offloaded to the edge, we dissect
the general video analytics … 1, the video analytics workload is distributed on the path of …

… We propose a distributed intelligent video surveillance system by combining the IoT, AI, and
EC technologies. We establish a multi-layer edge computing platform for the DIVS system, …

… of the edge computing environments. The distributed intelligent video surveillance (DIVS) …
, and workload balancing through distributed DL submodels deployed on the MEC nodes. …

… rative video analytics on distributed edges. Our approach is built on MARL, enabling edge
… multimedia networking, edge/cloud computing, edge intelligence, and internet of things. …

… edge servers for processing. By leveraging the on-device processing and computation
offloading, we propose a federated video analytics … We focus on the distribution of T (x,l) and A (x,l…

… Ning, “A distributed video analytics architecture based on edgecomputing and federated
learning,” in 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf …