Edge-Cloud Cooperative Image Processing by Partially Streaming ROI Data for Metaverse Applications

Ho Kim, Jungwon Park, Seungbeom Yang, Junseo Yun, Myeongjin Kang, Daejin Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Recently, interest in the metaverse has been increasing. In the multi-edge-based structure of the metaverse, the edge consumes a lot of power during image processing and data transmission. These problems make the metaverse system difficult to use in streaming, which leads to an increase in the edge's size and performance. We propose a collaborative edge-cloud of image processing and data transmission to reduce the edge's size and power consumption. We use a Region of Interest (ROI) and distribute edge-image processing to make streamable and runtime executable AI software. With this proposed structure, we confirmed the reduction in edge time, power consumption, and network communication.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665464345
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 - Yeosu, Korea, Republic of
Duration: 26 Oct 202228 Oct 2022

Publication series

Name2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Country/TerritoryKorea, Republic of
CityYeosu
Period26/10/2228/10/22

Keywords

  • Cloud-edge service
  • Low-power
  • Metaverse
  • Streamable AI

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