Occupancy-Map-Based Rate Distortion Optimization and Partition for Video-Based Point Cloud Compression-Reference-Cited by-同舟云学术

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Occupancy-Map-Based Rate Distortion Optimization and Partition for Video-Based Point Cloud Compression

Published:2021-01 Issue:1 Volume:31 Page:326-338
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Li Li^ORCID,Li Zhu^ORCID,Liu Shan^ORCID,Li Houqiang^ORCID

Funder

NSF I/UCRC on Big Learning and Tencent Media Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

https://ieeexplore.ieee.org/ielam/76/9316347/8957031-aam.pdf

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Video-Based Point Cloud Compression via Segmentation;Sensors;2024-07-01

2. Blind Quality Assessment of Dense 3D Point Clouds with Structure Guided Resampling;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-13

3. Multi-grained Point Cloud Geometry Compression via Dual-model Prediction with Extended Octree;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-06-12

4. Hallucinated-PQA: No reference point cloud quality assessment via injecting pseudo-reference features;Expert Systems with Applications;2024-06

5. Fast Video-Based Point Cloud Compression Based on Early Termination and Transformer Model;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-06

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