Nov 30, 2021 · In this paper, we present FoMO (Focus on Moving Objects). This method effectively optimizes multi-camera deployments by preprocessing images for scenes.
Jun 17, 2022 · A method to optimize video analytics by removing the analysis of uninteresting parts of the scene, distributing the work, and consolidating ...
Nov 21, 2024 · As the number of installed cameras grows, so do the compute resources required to process and analyze all the images captured by these cameras.
Large-Scale Video Analytics through Object-Level Consolidation --- Authors: Rivas, Daniel (Barcelona Supercomputing Center (BSC)); Guim, Francesc (Intel); ...
The Organizing Committee of the EAI Edge-IoT 2021 is delighted to announce that the winner of the Best Paper Award is the work entitled: Large-Scale Video ...
Edge AI system using a Thermal Camera for Industrial Anomaly Detection. EAI · 16:14 · Large-Scale Video Analytics through Object-Level Consolidation. EAI.
This article presents the ALOJA project and its analytics tools, which leverages machine learning to interpret Big Data benchmark performance data and tuning.
Oct 20, 2023 · In this article, a cloud–edge collaborative architecture is proposed combining edge-based inference with cloud-assisted continuous learning.
Missing: Consolidation. | Show results with:Consolidation.
In this paper, we present and evaluate COVA (Contextually Optimized Video Analytics), a framework to assist in the automatic specialization of models for video ...
Jun 21, 2021 · Video analytics is an application of machine learning that involves automatically identifying spatial and temporal events in video content.
Missing: Consolidation. | Show results with:Consolidation.