… systems aim to optimize live video analytics from a variety of … , a distributed live video analytics
system based on the smart … -throughput, and scalable live video analytics. The key behind …

… 1) We quantify the potential for harnessing spatio-temporal correlations in cross-camera
video analytics. 2) We build a cross-camera video analytics system that learns and applies …

… and designed to be deployed on a large scale. But during the COVID-19 lockdown when
they are needed the most, “the technology is not ready at scale to deploy”, said the president of …

… Video analytics applications use edge compute servers for processing videos. Compressed
… For large scale scheduling of training in the cloud, model and data parallel frameworks [3…

… We present Llama, a video analytics and processing framework that supports heterogenous
hardware and automatically tunes each operation invocation to meet diverse latency targets …

… 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 …

… 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 …

… In this paper, we propose FastVA, a framework that combines these two approaches for real
time video analytics on mobile devices. The major challenge is to determine when to offload …

… and respond to events coming from video streams. However, performance and accuracy
are the two major concerns in video analytics. The accuracy of the analytics process has …

… adverse impact on the accuracy of insights from video analytics tasks that re-use image-…
in video analytics tasks through the transfer of knowledge from learning on image analytics …