Live video analytics as a service

GH Apostolo, P Bauszat, V Nigade, HE Bal… - Proceedings of the 2nd …, 2022 - dl.acm.org
Many private and public organizations deploy large numbers of cameras, which are used in
application services for public safety, healthcare, and traffic control. Recent advances in …

Vision paper: Towards software-defined video analytics with cross-camera collaboration

J Yi, C Min, F Kawsar - Proceedings of the 19th ACM Conference on …, 2021 - dl.acm.org
Video cameras are becoming ubiquitous in our daily lives. With the recent advancement of
Artificial Intelligence (AI), live video analytics are enabling various useful services, including …

Deployment of customized deep learning based video analytics on surveillance cameras

P Dubal, R Mahadev, S Kothawade, K Dargan… - arXiv preprint arXiv …, 2018 - arxiv.org
This paper demonstrates the effectiveness of our customized deep learning based video
analytics system in various applications focused on security, safety, customer analytics and …

Distream: scaling live video analytics with workload-adaptive distributed edge intelligence

X Zeng, B Fang, H Shen, M Zhang - Proceedings of the 18th Conference …, 2020 - dl.acm.org
Video cameras have been deployed at scale today. Driven by the breakthrough in deep
learning (DL), organizations that have deployed these cameras start to use DL-based …

Scaling video analytics on constrained edge nodes

C Canel, T Kim, G Zhou, C Li, H Lim… - Proceedings of …, 2019 - proceedings.mlsys.org
As video camera deployments continue to grow, the need to process large volumes of real-
time data strains wide-area network infrastructure. When per-camera bandwidth is limited, it …

Video analytics-killer app for edge computing

G Ananthanarayanan, V Bahl, L Cox, A Crown… - Proceedings of the 17th …, 2019 - dl.acm.org
The world is witnessing an unprecedented increase in camera deployment. The USA and
UK, for instance, have one camera for every 8 people. Video analytics from these cameras …

Video analytics for visual surveillance and applications: An overview and survey

IE Olatunji, CH Cheng - … Learning Paradigms: Applications of Learning and …, 2019 - Springer
Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

[HTML][HTML] Leveraging edge intelligence for video analytics in smart city applications

A Rocha Neto, TP Silva, T Batista, FC Delicato… - Information, 2020 - mdpi.com
In smart city scenarios, the huge proliferation of monitoring cameras scattered in public
spaces has posed many challenges to network and processing infrastructure. A few dozen …

DeepStream: bandwidth efficient multi-camera video streaming for deep learning analytics

H Guo, B Tian, Z Yang, B Chen, Q Zhou, S Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning video analytic systems process live video feeds from multiple cameras with
computer vision models deployed on edge or cloud. To optimize utility for these systems …

{MadEye}: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations

M Wong, M Ramanujam, G Balakrishnan… - … USENIX Symposium on …, 2024 - usenix.org
Camera orientations (ie, rotation and zoom) govern the content that a camera captures in a
given scene, which in turn heavily influences the accuracy of live video analytics pipelines …