论文标题
在基于视频的点云压缩中，对无占用区域的率延伸最佳变换系数选择
Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression
论文作者
论文摘要
本文提出了一种新的方法，以确定速率优化的变换系数，以有效地压缩从点云产生的视频。该方法利用了通用的频率选择性外推方法，该方法迭代地确定了二维离散余弦和正弦变换的所有基础功能的速率优化系数。该方法应用于在基于视频的HEVC编码的基于视频的点云压缩中包含占用和未占用像素的块。在提出的算法中，只有更改转换系数的值，以使结果流符合V-PCC标准。对于全intra编码点云，可以观察到相对于标准编码的几何形状的比特率节省超过4％的几何形状和6％以上。这些节省的高度是使用文献竞争方法获得的储蓄的两倍以上。在随机情况下，我们提出的方法的表现优于竞争V-PCC方法的0.5％以上。
This paper presents a novel method to determine rate-distortion optimized transform coefficients for efficient compression of videos generated from point clouds. The method exploits a generalized frequency selective extrapolation approach that iteratively determines rate-distortion-optimized coefficients for all basis functions of two-dimensional discrete cosine and sine transforms. The method is applied to blocks containing both occupied and unoccupied pixels in video based point cloud compression for HEVC encoding. In the proposed algorithm, only the values of the transform coefficients are changed such that resulting bit streams are compliant to the V-PCC standard. For all-intra coded point clouds, bitrate savings of more than 4% for geometry and more than 6% for texture error metrics with respect to standard encoding can be observed. These savings are more than twice as high as savings obtained using competing methods from literature. In the randomaccess case, our proposed method outperforms competing V-PCC methods by more than 0.5%.
