Video Processing on the Edge for Multimedia IoT Systems

TL;DR

This paper surveys current edge video processing in multimedia IoT systems across various scenarios, proposing a cooperative processing method using lightweight virtualization and discussing challenges and opportunities for future development.

Contribution

It provides a comprehensive survey of edge video processing in M-IoT, introduces a cooperative processing method with virtualization, and evaluates its performance and challenges.

Findings

Performance evaluation shows efficiency of the proposed method.

Identifies key challenges in edge video processing.

Highlights opportunities for future research in M-IoT edge computing.

Abstract

In this article, we first survey the current situation of video processing on the edge for multimedia Internet-of-Things (M-IoT) systems in three typical scenarios, i.e., smart cities, satellite networks, and Internet-of-Vehicles. By summarizing a general model of the edge video processing, the importance of developing an edge computing platform is highlighted. Then, we give a method of implementing cooperative video processing on an edge computing platform based on light-weighted virtualization technologies. Performance evaluation is conducted and some insightful observations can be obtained. Moreover, we summarize challenges and opportunities of realizing effective edge video processing for M-IoT systems.