论文标题
基于视频点云压缩的速率控制算法
A Rate Control Algorithm for Video-based Point Cloud Compression
论文作者
论文摘要
基于视频的点云压缩（V-PCC）是一种新兴的压缩技术，它将3D点云投射到2D平面中，并使用高效率视频编码（HEVC）来编码投影的2D视频（几何视频和颜色视频）。在这项工作中，我们为V-PCC的全插道（AI）配置提出了一种速率控制算法。具体而言，根据预测视频中存在的质量依赖性，我们开发了优化公式，以分配几何视频和颜色视频之间的目标位。此外，我们为HEVC设计了一种两次通行方法，以适应预计视频的新特征，从而显着提高了速率控制的准确性。实验结果表明，我们的算法在R-D性能中均优于V-PCC，仅比特率误差为0.43％。
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.
