Edge Video Analytics: A Survey on Applications, Systems and Enabling Techniques
Video, as a key driver in the global explosion of digital information, can create tremendous
benefits for human society. Governments and enterprises are deploying innumerable …
benefits for human society. Governments and enterprises are deploying innumerable …
Elasticedge: An intelligent elastic edge framework for live video analytics
H Sun, Q Li, K Sha, Y Yu - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Cloud computing and edge computing models are popularly applied in emerging
applications, such as smart homes, smart parks, and connected autonomous vehicles for …
applications, such as smart homes, smart parks, and connected autonomous vehicles for …
SensiX++: Bringing mlops and multi-tenant model serving to sensory edge devices
We present SensiX++, a multi-tenant runtime for adaptive model execution with integrated
MLOps on edge devices, eg, a camera, a microphone, or IoT sensors. SensiX++ operates on …
MLOps on edge devices, eg, a camera, a microphone, or IoT sensors. SensiX++ operates on …
Argus: Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
Overlap** cameras offer exciting opportunities to view a scene from different angles,
allowing for more advanced, comprehensive and robust analysis. However, existing video …
allowing for more advanced, comprehensive and robust analysis. However, existing video …
Edge Computing Resource Management for Cross-Camera Video Analytics: Workload and Model Adaptation
Multi-camera systems are now widely employed across numerous domains. The
exponential growth of deep learning has simplified the implementation of advanced video …
exponential growth of deep learning has simplified the implementation of advanced video …