Block size selection in rate-constrained geometry based point cloud compression

In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e. , the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and...

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Vydané v:	Multimedia tools and applications Ročník 81; číslo 2; s. 2557 - 2575
Hlavní autori:	Gao, Pan, Wei, Mingqiang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2022 Springer Nature B.V
Predmet:	Algorithms Color coding Computer Communication Networks Computer Science Constraints Data Structures and Information Theory Geometry Image quality Multimedia Information Systems Octree coding Special Purpose and Application-Based Systems Point cloud compression Block size selection Octree level Rate constrained
ISSN:	1380-7501, 1573-7721
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Abstract	In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e. , the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and the degree of geometry compression in lossy coding. Therefore, selecting an appropriate block size for octree coding is crucial for compression quality of voxelized point clouds. In this paper, we propose an optimal block size selection scheme for geometry based point cloud compression with a given bit rate constraint. Firstly, we analyze the gradients of the overall quality of the point clouds with color coding bit rate and geometry coding bit rate in lossy geometry coding. Then, we propose an octree level selection approach that can output the optimal octree level for point cloud compression under a target bit rate. In this approach, we consider the difference between the impacts of lossy geometry coding and lossless geometry coding on the overall quality of the point clouds. Experimental results demonstrate that, using the level selected by the proposed algorithm for geometry coding can yield best coding results in terms of the average quality of the images rendered from decoded point clouds.
AbstractList	In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e., the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and the degree of geometry compression in lossy coding. Therefore, selecting an appropriate block size for octree coding is crucial for compression quality of voxelized point clouds. In this paper, we propose an optimal block size selection scheme for geometry based point cloud compression with a given bit rate constraint. Firstly, we analyze the gradients of the overall quality of the point clouds with color coding bit rate and geometry coding bit rate in lossy geometry coding. Then, we propose an octree level selection approach that can output the optimal octree level for point cloud compression under a target bit rate. In this approach, we consider the difference between the impacts of lossy geometry coding and lossless geometry coding on the overall quality of the point clouds. Experimental results demonstrate that, using the level selected by the proposed algorithm for geometry coding can yield best coding results in terms of the average quality of the images rendered from decoded point clouds. In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in the voxelized point clouds, i.e. , the number of voxels contained in a block, determines whether the geometry coding is lossless or lossy, and the degree of geometry compression in lossy coding. Therefore, selecting an appropriate block size for octree coding is crucial for compression quality of voxelized point clouds. In this paper, we propose an optimal block size selection scheme for geometry based point cloud compression with a given bit rate constraint. Firstly, we analyze the gradients of the overall quality of the point clouds with color coding bit rate and geometry coding bit rate in lossy geometry coding. Then, we propose an octree level selection approach that can output the optimal octree level for point cloud compression under a target bit rate. In this approach, we consider the difference between the impacts of lossy geometry coding and lossless geometry coding on the overall quality of the point clouds. Experimental results demonstrate that, using the level selected by the proposed algorithm for geometry coding can yield best coding results in terms of the average quality of the images rendered from decoded point clouds.
Author	Gao, Pan Wei, Mingqiang
Author_xml	– sequence: 1 givenname: Pan orcidid: 0000-0002-4492-5430 surname: Gao fullname: Gao, Pan email: gaopan.1005@gmail.com organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Science and Technology on Electro-optic Control Laboratory – sequence: 2 givenname: Mingqiang surname: Wei fullname: Wei, Mingqiang organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics
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Snippet	In geometry-based point cloud compression, the geometry information is typically compressed using octree coding. In octree coding, the size of the blocks in...
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SubjectTerms	Algorithms Color coding Computer Communication Networks Computer Science Constraints Data Structures and Information Theory Geometry Image quality Multimedia Information Systems Octree coding Special Purpose and Application-Based Systems
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Title	Block size selection in rate-constrained geometry based point cloud compression
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