A Video Capturing and Processing Platform Based on Mobile Edge Computing

被引：0

作者：

Zhao, Yinghui ^{[1
]}

An, Ru ^{[1
]}

Ou, Dongyang ^{[2
]}

Jiang, Congfeng ^{[2
]}

机构：

[1] Hohai Univ, Sch Earth Sci & Engn, Nanjing, Jiangsu, Peoples R China

[2] Hangzhou Dianzi Univ, Sch Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China

来源：

PROCEEDINGS OF THE 2020 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS) | 2020年

关键词：

Video analytics; mobile edge computing; vehicular communication; video streaming; Raspberry Pi; ANALYTICS;

D O I：

10.1109/cits49457.2020.9232607

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Video analytics is one of the killer applications in edge computing environment. Various kind of edge devices are deployed with video cameras and network support for live video capture and streaming. However, real time video capturing and streaming still face challenges including stable media server streaming and load balancing. Moreover, video capturing on low end edge devices become dominant in Internet of Things environment. In this paper we propose a video capture and processing platform based on mobile edge computing. Specifically, we implement an edge video capturing and processing platform on a Raspberry Pi board and an AlphaBot smart car. The platform consists of mobile video capture, video data processing, and load balancing of multiple users while concurrently streaming edge server live video. Our platform is convenient to access the edge video from smart phones, which transmits the video via WiFi network to a Web server for video storage and online streaming.

引用

页码：155 / 160

页数：6

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