Occupancy map-based low complexity motion prediction for video-based point cloud compression-Reference-Cited by-同舟云学术

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Occupancy map-based low complexity motion prediction for video-based point cloud compression

Published:2024-04 Issue: Volume:100 Page:104110
ISSN:1047-3203
Container-title:Journal of Visual Communication and Image Representation
language:en
Short-container-title:Journal of Visual Communication and Image Representation

Author:

Wang Yihan^ORCID,Wang Yongfang,Cui Tengyao^ORCID,Fang Zhijun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Real-time compression of point cloud streams;Kammerl,2012

2. Graph-based compression of dynamic 3D point cloud sequences;Thanou;IEEE Trans. Image Process.,2016

3. Compression of dynamic 3D point clouds using subdivisional meshes and graph wavelet transforms;Anis,2016

4. Design, implementation, and evaluation of a point cloud codec for tele-immersive video;Mekuria;IEEE Trans. Circuits Syst. Video Technol.,2016

5. 2D video coding of volumetric video data;Schwarz,2018

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