On Predictive RAHT For Dynamic Point Cloud Coding
On Predictive RAHT For Dynamic Point Cloud Coding
复制标题
动态点云编码的预测 RAHT
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
R. Queiroz
中科院分区：
文献类型：
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作者：
André Souto;R. Queiroz
研究了预测编码在点云压缩中的区域自适应分层变换(RAHT)中的应用。RAHT是MPEG基于几何的PCC测试模型的一部分，RAHT的帧内预测方案(URAHT)，其中预测残差被编码，而不是体素属性本身，已被证明提供了巨大的收益。我们将该方案扩展到帧间预测，并表明在压缩动态点云时，简单的零运动矢量(ZMV)帧间预测和帧内预测的组合可以比单纯的RAHT或仅帧内预测提供相当大的收益。使用自适应方法，使得ZMV不产生良好预测的部分切换到帧内预测，从而确保性能至少是帧内情况的性能。无论是大的(在稳定的部分)还是非常小的(有快速运动的部分)，结果显示来自简单的帧间和帧内预测组合的一致的正收益。
We studied predictive coding applied to the region-adaptive hierarchical transform (RAHT) which is used for point cloud compression (PCC). RAHT is part of MPEG’s geometry-based PCC test model and an intra-frame prediction scheme for RAHT (URAHT), wherein the prediction residual is encoded rather than the voxel attributes themselves, has been shown to deliver large gains. We extend the scheme to inter-frame prediction and show that a combination of simple zero-motion-vector (ZMV) inter-frame and intra-frame predictions can provide sizeable gains over pure RAHT or over intra-frame-only prediction when compressing dynamic point clouds. An adaptive method is used such that sections where ZMV does not yield good prediction switch to intra-frame prediction, assuring the performance to be at least that of the intra-frame case. Be the gains large (in steady parts) or very small (where there is rapid motion) results show consistent positive gains coming from a simple inter- and intra-frame prediction combination.
DOI：
10.1109/jetcas.2018.2885981
发表时间：
2019-03-01
影响因子：
4.6
作者：
Schwarz, Sebastian;Preda, Marius;Zakharchenko, Vladyslav
通讯作者：
Zakharchenko, Vladyslav