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CAS IR Grid
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南海海洋研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
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OAI收割 [3]
内容类型
期刊论文 [2]
会议论文 [1]
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2024 [1]
2020 [1]
2010 [1]
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Adaptive Bitrate Video Caching in UAV-Assisted MEC Networks Based on Distributionally Robust Optimization
期刊论文
OAI收割
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 5, 页码: 5245-5259
作者:
Chen, Yali
;
Liu, Min
;
Ai, Bo
;
Wang, Yuwei
;
Sun, Sheng
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2024/12/06
Streaming media
Autonomous aerial vehicles
Optimization
Bit rate
Servers
Robustness
Uncertainty
Adaptive bitrate video caching
mobile edge computing (MEC)
optimization under uncertainty
unmanned aerial vehicle (UAV)
Using Time-Series Videos to Quantify Methane Bubbles Flux from Natural Cold Seeps in the South China Sea
期刊论文
OAI收割
MINERALS, 2020, 卷号: 10, 期号: 3, 页码: 216
作者:
Di, Pengfei
;
Feng, Dong
;
Tao, Jun
;
Chen, Duofu
  |  
收藏
  |  
浏览/下载:50/0
  |  
提交时间:2020/09/22
cold seep
bubbles
gas flux
release rate
South China Sea
autonomous video
An intelligent video surveillance system (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
Gao S.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties
banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time
the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.