Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints
Rhoan Lee, Soohyun Park, Soyi Jung, Joongheon Kim

TL;DR
This paper introduces a Lyapunov optimization-based method to maximize AR visualization quality in real-time on mobile devices while respecting delay constraints, addressing the challenge of computational delays in AR systems.
Contribution
It proposes a novel time-average quality maximization approach for AR visualization under delay constraints using Lyapunov optimization, enhancing real-time performance.
Findings
Effective quality maximization under delay constraints
Improved AR visualization performance on mobile devices
Framework adaptable to various AR applications
Abstract
Augmented reality (AR) is one of emerging applications in modern multimedia systems research. Due to intensive time-consuming computations for AR visualization in mobile devices, quality-aware real-time computing under delay constraints is essentially required. Inspired by Lyapunov optimization framework, this paper proposes a time-average quality maximization method for the AR visualization under delay considerations.
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Taxonomy
TopicsImage and Video Quality Assessment · Video Coding and Compression Technologies · Visual Attention and Saliency Detection
