Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder

This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement on compression efficiency over our previously reported results. With this it offers competitive performance compared to the state-of-the-art...

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Vydáno v:2023 IEEE International Conference on Image Processing (ICIP) s. 1880 - 1884
Hlavní autoři: Komatsu, Otho T., Medeiros, Edil, Alves, Lucas M., Peixoto, Eduardo
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 08.10.2023
Témata:
Codecs
Geometry
geometry coding
Image coding
Instruction sets
lossless compression
multithread algorithms
parallelization
Point cloud compression
point clouds
Three-dimensional displays
Transform coding
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Abstract This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement on compression efficiency over our previously reported results. With this it offers competitive performance compared to the state-of-the-art MPEG G-PCC, outperforming it for some sequences. Additionally, we propose and analyze two multithreaded algorithms based on the S3D coder, namely S3D-Subtree (S3D-S) and S3D-Subtree + TopTree (S3D-ST). We evaluate the performance of these algorithms from 2 to 128 threads so that the user can select the best tradeoff for the desired application. As expected, parallelization decreases compression efficiency, but both S3D-S and S3D-ST show minor penalties for a small number of threads, and S3D-ST offers better compression efficiency when a larger number is used.
AbstractList This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement on compression efficiency over our previously reported results. With this it offers competitive performance compared to the state-of-the-art MPEG G-PCC, outperforming it for some sequences. Additionally, we propose and analyze two multithreaded algorithms based on the S3D coder, namely S3D-Subtree (S3D-S) and S3D-Subtree + TopTree (S3D-ST). We evaluate the performance of these algorithms from 2 to 128 threads so that the user can select the best tradeoff for the desired application. As expected, parallelization decreases compression efficiency, but both S3D-S and S3D-ST show minor penalties for a small number of threads, and S3D-ST offers better compression efficiency when a larger number is used.
Author Peixoto, Eduardo
Medeiros, Edil
Alves, Lucas M.
Komatsu, Otho T.
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  organization: University of Brasília,Electrical Engineering Department
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  givenname: Eduardo
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  fullname: Peixoto, Eduardo
  email: eduardopeixoto@ieee.org
  organization: University of Brasília,Electrical Engineering Department
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Snippet This paper evaluates a new implementation of our Silhouette 3D (S3D) coder for lossless compression of point cloud geometry, which yields up to 18% improvement...
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StartPage 1880
SubjectTerms Codecs
Geometry
geometry coding
Image coding
Instruction sets
lossless compression
multithread algorithms
parallelization
Point cloud compression
point clouds
Three-dimensional displays
Transform coding
Title Multithreaded Algorithms for Lossless Intra Compression of Point Cloud Geometry Based on the Silhouette 3d Coder
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