@inproceedings{c851c009669b4bfdb56c42e8ffe3e29b,
title = "LARR: A Localization-Assisted Method to Conceal Latency-Induced Position Errors in MR Remote Rendering",
abstract = "The future of social interaction lies in the Metaverse, where mixed reality (MR) plays a key role. With the growth of the Metaverse, there is a growing demand for volumetric videos in the media industry. However, rendering complex volumetric content on mobile devices with limited computing power presents a challenge. To address this, we propose a localization-assisted remote rendering (LARR) architecture for MR applications, which can effectively conceal delay-induced position error and display streamed objects accurately. The LARR architecture uses dedicated object streaming cameras (OSC) at the server for each 3D object to enable real-time position updates. In addition, stream data optimization is used to minimize unnecessary data transfer. The LARR approach reduces streaming data by 81% and 46% compared to non-optimized and existing MR streaming architectures in real-world experiments.",
keywords = "delay compensation, low-latency communication, Mixed Reality, remote rendering",
author = "Zeng, {Hong Lin} and Huang, {Zheng Ting} and Huang, {Chih Wei}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023 ; Conference date: 28-05-2023 Through 01-06-2023",
year = "2023",
doi = "10.1109/ICCWorkshops57953.2023.10283669",
language = "???core.languages.en_GB???",
series = "2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1439--1444",
booktitle = "2023 IEEE International Conference on Communications Workshops",
}