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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| Veröffentlicht in: | 2023 IEEE International Conference on Image Processing (ICIP) S. 1880 - 1884 |
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08.10.2023
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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. |
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| 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. |
| Author_xml | – sequence: 1 givenname: Otho T. surname: Komatsu fullname: Komatsu, Otho T. email: otho.tk@hotmail.com organization: University of Brasília,Electrical Engineering Department – sequence: 2 givenname: Edil surname: Medeiros fullname: Medeiros, Edil email: j.edil@ene.unb.br organization: University of Brasília,Electrical Engineering Department – sequence: 3 givenname: Lucas M. surname: Alves fullname: Alves, Lucas M. email: lucas.alves@lumal21.net.br organization: University of Brasília,Electrical Engineering Department – sequence: 4 givenname: Eduardo surname: Peixoto 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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| 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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