Lightweight Online Profiling-Based Configuration Adaptation for Video Analytics System in Edge Computing
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004571
Abstract: Video Analytics System has emerged as a promising technology to realize deep neural network based intelligent applications for video streams. Its objective is to maximize the video analytics performance of video streams, such as accuracy,… read more here.
Keywords: video; resource; video analytics; configuration adaptation ... See more keywords
EdgeEye: A Data-Driven Approach for Optimal Deployment of Edge Video Analytics
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3166896
Abstract: Deep neural network (DNN)-based video processing methods are applied in mobile video analytics because of high accuracy. Edge computing is an efficient paradigm that improves the performance of mobile video analytics. However, due to the… read more here.
Keywords: driven approach; video analytics; data driven; edge computing ... See more keywords
Edge-Assisted Real-Time Video Analytics With Spatial–Temporal Redundancy Suppression
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3224750
Abstract: Driven by plummeting camera prices and advances of video inference algorithms, video cameras are deployed ubiquitously and organizations usually rely on live video analytics to retrieve key information, such as the locations and identities of… read more here.
Keywords: time video; video analytics; real time; video ... See more keywords
Incentivizing Resource Contribution for Video Analytics in Computing Power Networking: A Dual-Layer Stackelberg Game Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3564620
Abstract: The explosion of cameras embedded in IoT devices—from mobile phones to autonomous vehicles—has positioned video analytics as a transformative AI tool across healthcare, smart cities, and beyond. Yet, the substantial computing and bandwidth demands of… read more here.
Keywords: resource; computing power; dual layer; game ... See more keywords
RIVA: Communication-Efficient Streaming Control for Real-Time Industrial Video Analytics
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2025.3574591
Abstract: Real-time industrial video analytics is widely applied across diverse domains within cyber-physical systems (CPS). CPS devices equipped with networked cameras are wirelessly connected to servers for complex vision-based analytics and intelligent operations. Adaptive video streaming… read more here.
Keywords: video; real time; industrial video; control ... See more keywords
Edge-Cloud Collaborative Streaming Video Analytics With Multi-Agent Deep Reinforcement Learning
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DOI: 10.1109/mnet.2024.3398724
Abstract: Streaming video analytics focuses on the real-time analysis of streaming video data from multiple resources, such as security cameras, and IoT devices with video capabilities. It involves applications of various techniques to extract valuable information… read more here.
Keywords: video analytics; streaming video; edge cloud; video ... See more keywords
OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2022.3193630
Abstract: Edge computing has gained momentum in recent years, and can provide more immediate analysis of streaming video data. However, the edge devices often lack the computing capabilities (processing power, memory) to guarantee reasonable performance (e.g.,… read more here.
Keywords: performance model; edge cloud; video analytics; video ... See more keywords
Gemini+: Enhancing Real-Time Video Analytics With Dual-Image FPGAs
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2025.3558464
Abstract: Real-time video analytics demand intensive computing resources, often exceeding device capabilities. Heterogeneous computing resources like CPU and GPU, usually work collaboratively to ensure real-time performance. GPU manages data-intensive computing, while CPU handles instruction-intensive tasks. However,… read more here.
Keywords: dual image; video; real time; cpu gpu ... See more keywords
Adaptive On-Device Model Update for Responsive Video Analytics in Adverse Environments
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3466524
Abstract: While advanced lightweight models excel at real-time inference on resource-constrained end cameras in general scenarios, they often face limitations in adverse environments because of poor generalization ability. To achieve accurate inference in adverse environments, it… read more here.
Keywords: adverse environments; system; device; model update ... See more keywords
Spatial and Temporal Detection With Attention for Real-Time Video Analytics at Edges
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3361016
Abstract: The detection of objects via neural networks plays a key role in various video analytics, but consumes huge resources. Due to the limited computing capability at edges, such real-time detections should be precisely used for… read more here.
Keywords: detection; real time; attention; video analytics ... See more keywords
Towards Timely Video Analytics Services at the Network Edge
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3376769
Abstract: Real-time video analytics services aim to provide users with accurate recognition results timely. However, existing studies usually fall into the dilemma between reducing delay and improving accuracy. The edge computing scenario imposes strict transmission and… read more here.
Keywords: edge; network; transmission computation; video analytics ... See more keywords