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1-7 of 7
Keywords: Point cloud compression
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Journal Articles
Efficient Multi-stage Context Based Entropy Model for Learned Lossy Point Cloud Attribute Compression
Open Access
APSIPA Transactions on Signal and Information Processing (2025) 14 (2): 1–23.
Published: 23 April 2025
... their substantial data volumes. In recent years, learning-based point cloud compression has garnered significant interest, with extensive research conducted on techniques such as learning-based point cloud geometry compression [35, 32, 31]. However, exploration into learning-based point cloud attribute...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2025) 14 (2): 1–21.
Published: 23 April 2025
...Kangrui Luo; Donghan Bu; Anhong Wang; Junhui Hou; Yakun Yang Point cloud compression can effectively save the amount of data required for transmission and storage of point clouds. However, the commonly used methods of point cloud compression have serious impacts on the performance of downstream...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2025) 14 (2): 1–27.
Published: 23 April 2025
...Xiao Huo; Shidi Hao; Wei Zhang; Fuzheng Yang The Moving Picture Experts Group (MPEG) has published the geometry-based point cloud compression (G-PCC) standard. It converts the compression of irregular point coordinates to the coding of structured binary octree node occupancy, where the Context...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2025) 14 (2): 1–25.
Published: 23 April 2025
... be seen at Link to the terms of the CC BY-NC 4.0 licence . point cloud compression attribute RAHT quantization parameter A point cloud generally contains millions of points, in which geometry coordinates and a vector of attributes are associated with each point, such as color...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2025) 14 (2): 1–33.
Published: 21 January 2025
... and storage, which influences the wide deployments. Therefore, point cloud compression plays a crucial role in practical applications for both human and machine perception optimization. To this end, the Moving Picture Experts Group (MPEG) has established two standards for point cloud compression, including...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2022) 11 (1): 1–28.
Published: 21 February 2022
...Lei Wei; Shuai Wan; Fuzheng Yang; Zhecheng Wang The nonuniform distribution of points in a point cloud and their abundant attribute information (such as colour, reflectance, and normal) result in the generation of massive data, making point cloud compression (PCC) essential for related applications...
Journal Articles
APSIPA Transactions on Signal and Information Processing (2020) 9 (1): 1–17.
Published: 03 April 2020
...D. Graziosi; O. Nakagami; S. Kuma; A. Zaghetto; T. Suzuki; A. Tabatabai This article presents an overview of the recent standardization activities for point cloud compression (PCC). A point cloud is a3D data representation used in diverse applications associated with immersive media including...
