… This paper presents Reducto, a video analytics system that supports efficient real-time
querying by leveraging previously unused resources to perform on-camera frame filtering. This …

… all video analytics deployments, we believe that in practice deployments will vary from
having all the analytics in the cloud (for small deployments of cameras), to all the analytics in pri…

… In this paper, we investigate the problem of optimizing the overall detection accuracy for
real-time video analytics over resource-constrained device and dynamic edge networks under …

… In this paper, we present our work on building a real-time intelligent video analytics framework
based on deep learning for services deployed at the Internet edge. Nowadays, camera …

… of video analytics in real-world scenarios and to bring more flexibility, agility, and efficiency
to the space. Ideally, a live video analytics … for efficient real time video analytics at scale. In …

… Our solution aims to find the most suitable video analytics offloading configuration and
bandwidth allocation scheme for a multi-user edge-assisted video analytics system. To the best of …

… video analytics for public safety and edge computing, followed by a discussion about how
EVAPS benefits from edge video analytics … analyze the live video in real time. Microsoft group …

… system that enables real time video analytics at scale via harnessing the videos content …
online phase for real time video inference. Experiments on real-world video feeds show that …

… , existing video analytics solutions … video content is happening and the context-dependent
characteristics under the hood. In this work, we propose VaBUS, a real-time video analytics …

… , videos, and resource settings that reflect workloads observed in both our own multi-city
pilot video analytics … bottlenecks in edge video analytics that is complementary to time/space-…