Point Cloud Compression Based on Joint Optimization of Graph Transform and Entropy Coding for Efficient Data Broadcasting-Reference-Cited by-同舟云学术

Point Cloud Compression Based on Joint Optimization of Graph Transform and Entropy Coding for Efficient Data Broadcasting

Published:2023-09 Issue:3 Volume:69 Page:727-739
ISSN:0018-9316
Container-title:IEEE Transactions on Broadcasting
language:
Short-container-title:IEEE Trans. on Broadcast.

Author:

Gao Pan¹^ORCID,Zhang Lijuan²,Lei Lei²^ORCID,Xiang Wei³^ORCID

Affiliation:

1. College of Computer Science and Technology and the MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

3. School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC, Australia

Funder

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/11/10241251/10184956.pdf?arnumber=10184956

Reference60 articles.

1. A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression

2. Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes

3. Context-based octree coding for point-cloud video

4. Region Adaptive Graph Fourier Transform for 3D Point Clouds

5. Patch-Based Deep Autoencoder for Point Cloud Geometry Compression

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