On the road to the metaverse: Point cloud video streaming: Perspectives and enablers
In the rapidly evolving metaverse ecosystem, video streaming plays a vital role, offering immersive, on-demand experiences and engaging users in dynamic 3D virtual environments. Point cloud video streaming enables detailed 3D representations for applications like 3D scanning, AR, and VR. However, hi...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | ICT Express |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405959524001395 |
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| author | Patrick Enenche Dong Ho Kim Dongho You |
| author_facet | Patrick Enenche Dong Ho Kim Dongho You |
| author_sort | Patrick Enenche |
| collection | DOAJ |
| description | In the rapidly evolving metaverse ecosystem, video streaming plays a vital role, offering immersive, on-demand experiences and engaging users in dynamic 3D virtual environments. Point cloud video streaming enables detailed 3D representations for applications like 3D scanning, AR, and VR. However, high data demands and complex encoding pose challenges, requiring efficient resource and latency management. As a result, user experience (UX) is critical in the metaverse, where metrics like real-time feedback, Quality of Experience (QoE), and adaptive UX design are essential for sustaining engagement in immersive 3D environments. Therefore, this paper closely examines the latest developments in point cloud video streaming, specifically focusing on user-centric, AI-driven, and low-latency techniques, transcending traditional video streaming methods. We investigate a variety of techniques, pinpoint obstacles, and chart prospective routes for elevating both the quality and depth of immersive experiences. Furthermore, our work includes a detailed qualitative comparison of these streaming paradigms. We also shed light on pivotal metaverse enhancers, such as Mobile Edge Computing (MEC), Visible Light Communication (VLC), advanced network coding techniques, and the integration of the Data Plane Development Kit (DPDK). These enablers—particularly when combined with DPDK’s capabilities in efficient data packet processing—have the potential to optimize resource allocation, strengthen reliability, reduce latency, and improve the sustainability of point cloud video streaming. Our study, therefore, offers a holistic overview of the advancing area of point cloud video streaming and outlines paths for future research and development. |
| format | Article |
| id | doaj-art-35a28f3ddee04fc6aa538b0052da60fc |
| institution | DOAJ |
| issn | 2405-9595 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ICT Express |
| spelling | doaj-art-35a28f3ddee04fc6aa538b0052da60fc2025-08-20T03:12:41ZengElsevierICT Express2405-95952025-02-011119310410.1016/j.icte.2024.11.001On the road to the metaverse: Point cloud video streaming: Perspectives and enablersPatrick Enenche0Dong Ho Kim1Dongho You2The Department of Information and Communication Engineering, Hannam University, Daejeon 34430, South KoreaThe Department of Smart ICT Convergence Engineering, Seoul National University of Science and Technology, Seoul 139743, South KoreaThe Department of Information and Communication Engineering, Hannam University, Daejeon 34430, South Korea; Corresponding author.In the rapidly evolving metaverse ecosystem, video streaming plays a vital role, offering immersive, on-demand experiences and engaging users in dynamic 3D virtual environments. Point cloud video streaming enables detailed 3D representations for applications like 3D scanning, AR, and VR. However, high data demands and complex encoding pose challenges, requiring efficient resource and latency management. As a result, user experience (UX) is critical in the metaverse, where metrics like real-time feedback, Quality of Experience (QoE), and adaptive UX design are essential for sustaining engagement in immersive 3D environments. Therefore, this paper closely examines the latest developments in point cloud video streaming, specifically focusing on user-centric, AI-driven, and low-latency techniques, transcending traditional video streaming methods. We investigate a variety of techniques, pinpoint obstacles, and chart prospective routes for elevating both the quality and depth of immersive experiences. Furthermore, our work includes a detailed qualitative comparison of these streaming paradigms. We also shed light on pivotal metaverse enhancers, such as Mobile Edge Computing (MEC), Visible Light Communication (VLC), advanced network coding techniques, and the integration of the Data Plane Development Kit (DPDK). These enablers—particularly when combined with DPDK’s capabilities in efficient data packet processing—have the potential to optimize resource allocation, strengthen reliability, reduce latency, and improve the sustainability of point cloud video streaming. Our study, therefore, offers a holistic overview of the advancing area of point cloud video streaming and outlines paths for future research and development.http://www.sciencedirect.com/science/article/pii/S2405959524001395Point cloudVideo streamingMetaverseSustainability |
| spellingShingle | Patrick Enenche Dong Ho Kim Dongho You On the road to the metaverse: Point cloud video streaming: Perspectives and enablers ICT Express Point cloud Video streaming Metaverse Sustainability |
| title | On the road to the metaverse: Point cloud video streaming: Perspectives and enablers |
| title_full | On the road to the metaverse: Point cloud video streaming: Perspectives and enablers |
| title_fullStr | On the road to the metaverse: Point cloud video streaming: Perspectives and enablers |
| title_full_unstemmed | On the road to the metaverse: Point cloud video streaming: Perspectives and enablers |
| title_short | On the road to the metaverse: Point cloud video streaming: Perspectives and enablers |
| title_sort | on the road to the metaverse point cloud video streaming perspectives and enablers |
| topic | Point cloud Video streaming Metaverse Sustainability |
| url | http://www.sciencedirect.com/science/article/pii/S2405959524001395 |
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