… been developed to apply deep learning for video analytics. Although these advanced deep
… deep learning video analytics through edge processing and Neural Processing Unit (NPU) in …

… deep learning video analytics through edge processing and Neural Processing Unit (NPU)
in … are developing dedicated Neural Processing Units (NPUs) for mobile devices, which can …

… for deep learning video analytics on mobile devices with NPU. … if the video frame should be
offloaded for further processing. … loss problem in deep learning video analytics on NPU based …

… A system that analyzes a large number of camera feeds needs … we can enable real-time
video analytics in a cost efficient … opportunities available in scaling video analytics, when only a …

… This section provides an overview of video analytics before delving into the key challenges
… We set the neural network batch size based on a short parameter sweep. Evaluation …

… or over-compressed/pruned video streaming protocols, eg, … (eg, neural super-resolution) to
improve the quality of videos (… real-time and neural-enhanced video analytics, selects a few …

… devices employ Neural Network processing units at edge … system equipment and datasets
which reveal the volatile performance of video analytics and their dependency on said system …

… the general video analytics process as well as review typical video analytics algorithms used
… best configurations for deep convolutional neural network-based video analytic pipelines. …

… of Neural Processing Unit (NPU) and pro- 128 posed techniques to optimize accuracy or utility
of video 129 analytics through edge processing and … consumption of video analytics, and …

… Advancements in deep neural networks (DNNs) and widespread deployment of video
cameras have fueled the need for video analytics systems. Despite rapid advances in system …