Octree-Retention Fusion: A High-Performance Context Model for Point Cloud Geometry Compression.
Zhikang Zhang|Zhongjie Zhu|Yongqiang Bai|Ming Wang|Zhijing Yu
| Anthology ID: | DBLP:conf/mir/ZhangZBWY24 |
|---|---|
| Volume: | Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 1150-1154 |
| URL: | https://doi.org/10.1145/3652583.3657620 |
| DOI: | https://doi.org/10.1145/3652583.3657620 |
| DBLP: | conf/mir/ZhangZBWY24 |
| BibTeX: |
@inproceedings{zhang-2024-octreeretention,
author = {Zhikang Zhang and
Zhongjie Zhu and
Yongqiang Bai and
Ming Wang and
Zhijing Yu},
editor = {Cathal Gurrin and
Rachada Kongkachandra and
Klaus Sch\"{o}ffmann and
Duc-Tien Dang-Nguyen and
Luca Rossetto and
Shin'ichi Satoh and
Liting Zhou},
title = {{Octree-Retention Fusion: A High-Performance Context Model for Point Cloud Geometry Compression}},
booktitle = {{Proceedings of the 2024 International Conference on Multimedia Retrieval, ICMR 2024, Phuket, Thailand, June 10-14, 2024}},
pages = {1150--1154},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3652583.3657620},
doi = {https://doi.org/10.1145/3652583.3657620}
}