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.
翻译：基于视频的点云压缩(V-PCC)是一个新兴压缩技术,它将三维点云投射成2D平面,并使用高效视频编码(HEVC)来编码预测的二维视频(几何视频和彩色视频 ) 。 在这项工作中,我们提出了V-PCC全内部配置(AI)的费率控制算法。 具体地说,根据预测视频中存在的质量依赖性,我们开发了一种优化配方,在几何视频和彩色视频之间分配目标比特。此外,我们为HEVC设计了一种双通法,以适应预测视频的新特点,这大大提高了率控制的准确性。实验结果表明,我们的算法在R-D性能中,没有率控制,只有0.43%的位速率错误,比特率比特差比特差。
相关内容
微信扫码咨询专知VIP会员