University of Oulu

Y. Huang, Y. Zhu, X. Qiao, X. Su, S. Dustdar and P. Zhang, "Toward Holographic Video Communications: A Promising AI-Driven Solution," in IEEE Communications Magazine, vol. 60, no. 11, pp. 82-88, November 2022, doi: 10.1109/MCOM.001.220021

Toward holographic video communications : a promising AI-driven solution

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Author: Huang, Yakun1; Zhu, Yuanwei1; Qiao, Xiuquan1;
Organizations: 1Beijing University of Posts and Telecommunications, China
2Norwegian University of Science and Technology, Norway
3University of Oulu, Finland
4Distributed Systems Group, Technische Universität Wien, Austria
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 6.1 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2023-04-11


Real-time holographic video communications enable immersive experiences for next-generation video services in the future metaverse era. However, high-fidelity holographic videos require high bandwidth and significant computation resources, which exceed the transferring and computing capacity of 5G networks. This article reviews state-of-the-art holographic point cloud video transmission techniques and highlights the critical challenges of delivering such immersive services. We further implement a preliminary prototype of an AI-driven holographic video communication system and present critical experimental results to evaluate its performance. Finally, we identify future research directions and discuss potential solutions for providing real-time and high-quality holographic experiences.

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Series: IEEE communications magazine
ISSN: 0163-6804
ISSN-E: 1558-1896
ISSN-L: 0163-6804
Volume: 60
Issue: 11
Pages: 82 - 88
DOI: 10.1109/mcom.001.220021
Type of Publication: A2 Review article in a scientific journal
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research was supported in part by the International Cooperation and Exchange of NSFC under Grant 61720106007, in part by the National Natural Science Foundation of China under Grant 62202065, in part by the Project funded by China Postdoctoral Science Foundation 2022TQ0047 and 2022M710465, and in part by Academy of Finland under projects 319670 and 326305.
Academy of Finland Grant Number: 319670
Detailed Information: 319670 (Academy of Finland Funding decision)
326305 (Academy of Finland Funding decision)
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