Rate-Distortion Optimized Skip Coding of Region Adaptive Hierarchical Transform Coefficients for MPEG G-PCC
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Abstract (arXiv)
Three-dimensional (3D) point clouds are becoming more and more popular for representing 3D objects and scenes. Due to limited network bandwidth, efficient compression of 3D point clouds is crucial. To tackle this challenge, the Moving Picture Experts Group (MPEG) is actively developing the Geometry-based Point Cloud Compression (G-PCC) standard, incorporating innovative methods to optimize compression, such as the Region-Adaptive Hierarchical Transform (RAHT) nestled within a layer-by-layer octree-tree structure. Nevertheless, a notable problem still exists in RAHT, i.e., the proportion of zero residuals in the last few RAHT layers leads to unnecessary bitrate consumption. To address this problem, we propose an adaptive skip coding method for RAHT, which adaptively determines whether to encode the residuals of the last several layers or not, thereby improving the coding efficiency. In addition, we propose a rate-distortion cost calculation method associated with an adaptive Lagrange multiplier. Experimental results demonstrate that the proposed method achieves average Bjontegaard rate improvements of -3.50%, -5.56%, and -4.18% for the Luma, Cb, and Cr components, respectively, on dynamic point clouds, when compared with the state-of-the-art G-PCC reference software under the common test conditions recommended by MPEG.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 6 of its 39 references that are in the map. First posted on arXiv 7 Dec 2024.
Builds on
6 of 39 references.
References · 6
- 2020Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compressioncited by 31
- 2023Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Modelcited by 25
- 2019A Comprehensive Study and Comparison of Core Technologies for MPEG 3D Point Cloud Compressioncited by 18
- 2019Large-scale 3D point cloud representations via graph inception networks with applications to autonomous drivingcited by 8
- 2022Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compressioncited by 3
- 2022Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compressioncited by 1
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Citing papers per year: 2025: 4.
4 papers.
- 2025High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCCcited by 5
- 2025Point Cloud Compression and Objective Quality Assessment: A Surveycited by 1
- 2025Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Codingcited by 1
- 2025Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compressioncited by 0
- 2025Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding10 Sep 2025
- 2025Rate-distortion Optimized Point Cloud Preprocessing for Geometry-based Point Cloud Compression3 Aug 2025
- 2025Point Cloud Compression and Objective Quality Assessment: A Survey28 Jun 2025
- 2025High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC21 Mar 2025