Comparison of Data Serialization Techniques for Point Cloud Video Streaming in Real Time over WebRTC 


Vol. 50,  No. 12, pp. 1907-1916, Dec.  2025
10.7840/kics.2025.50.12.1907


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  Abstract

With the advancement of metaverse and virtual reality (VR) content technologies, the demand for point cloud technology that precisely reproduces the real world is increasing. However, due to the large data size, real-time transmission requires high bandwidth, which poses challenges for interaction-based applications. This study builds a WebRTC-based real-time transmission system and compares the performance of three methods— RDP, Protobuf, and Draco—in terms of encoding time, transmission delay, decoding time, received FPS, and data size. Experimental results show that RDP achieved fast encoding and decoding speeds, Protobuf provided balanced performance, and Draco achieved high compression efficiency and low transmission delay. Each method exhibits different characteristics, confirming that a balanced choice between transmission efficiency and real-time performance is essential for point cloud transmission.

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  Cite this article

[IEEE Style]

Y. Lee, H. H. Jung, D. You, "Comparison of Data Serialization Techniques for Point Cloud Video Streaming in Real Time over WebRTC," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 12, pp. 1907-1916, 2025. DOI: 10.7840/kics.2025.50.12.1907.

[ACM Style]

Yongjun Lee, Han Hee Jung, and Dongho You. 2025. Comparison of Data Serialization Techniques for Point Cloud Video Streaming in Real Time over WebRTC. The Journal of Korean Institute of Communications and Information Sciences, 50, 12, (2025), 1907-1916. DOI: 10.7840/kics.2025.50.12.1907.

[KICS Style]

Yongjun Lee, Han Hee Jung, Dongho You, "Comparison of Data Serialization Techniques for Point Cloud Video Streaming in Real Time over WebRTC," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 12, pp. 1907-1916, 12. 2025. (https://doi.org/10.7840/kics.2025.50.12.1907)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880