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arXiv · 2205.11825

A Rate Control Algorithm for Video-based Point Cloud Compression

Fangyu Shen·Wei Gao
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Abstract

Video-based point cloud compression (V-PCC) has been an emerging compression technology that projects the 3D point cloud into a 2D plane and uses high efficiency video coding (HEVC) to encode the projected 2D videos (geometry video and color video). In this work, we propose a rate control algorithm for the all-intra (AI) configuration of V-PCC. Specifically, based on the quality-dependency existing in the projected videos, we develop an optimization formulation to allocate target bits between the geometry video and the color video. Furthermore, we design a two-pass method for HEVC to adapt to the new characteristics of projected videos, which significantly improves the accuracy of rate control. Experimental results demonstrate that our algorithm outperforms V-PCC without rate control in R-D performance with just 0.43% bitrate error.

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Fangyu Shen, Wei Gao. 2022-05-24. A Rate Control Algorithm for Video-based Point Cloud Compression. https://doi.org/10.1109/vcip53242.2021.9675449.

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