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Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Frameworkoa mark
  • Baek, Hankyul ;
  • Lee, Rhoan ;
  • Jung, Soyi ;
  • Kim, Joongheon ;
  • Park, Soohyun
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Publication Year
2023-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Open Journal of the Computer Society, Vol.4, pp.243-252
Keyword
Augmented reality (AR)Lyapunov optimizationpoint cloud processingvolumetric contents
Mesh Keyword
Augmented realityCloud processingImage color analysisLyapunov optimizationOptimisationsPoint cloud compressionPoint cloud processingPoint-cloudsQuality of experienceReal - Time systemRendering (computer graphic)Three-dimensional displayVolumetric contentVolumetrics
All Science Classification Codes (ASJC)
Computer Science (all)
Abstract
Real-time volumetric contents streaming on augmented reality (AR) devices should necessitate a balance between end-users' quality of experience (QoE) and the latency requirements. Lowering the quality of the volumetric contents to diminish the latency hinders the user's QoE. Otherwise, setting the quality of volumetric contents relatively high to improve the users' QoE increases the latency, which can be challenging to meet user satisfaction in AR services. Based on this trade-off observation, our proposed method maximizes time-average AR quality under latency requirements, inspired by Lyapunov optimization framework. In order to control the AR quality depending on latency requirements, we control the point cloud rendering ratio in the volumetric contents under the concept of Lyapunov optimization. Our extensive evaluation demonstrates that our proposed method achieves desired performance improvements, i.e., avoiding latency growing while ensuring the high quality of the volumetric contents streaming in AR services.
ISSN
2644-1268
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33676
DOI
https://doi.org/10.1109/ojcs.2023.3312371
Fulltext

Type
Article
Funding
This work was supported by the National Research Foundation of Korea under Grants 2022R1A2C2004869 and 2021R1A4A1030775.
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