Fast CU Decision Algorithm Based on LightGBM for Geometry Video in V-PCC
Author:
Affiliation:
1. North China University of Technology, China
Funder
MOE Planned Project of Humanities and Social Sciences
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3650400.3650459
Reference10 articles.
1. Graziosi D. Nakagami O. Kuma S. Zaghetto A. Suzuki T. & Tabatabai A. 2020. An overview of ongoing point cloud compression standardization activities: Video-based (V-PCC) and geometry-based (G-PCC). APSIPA Transactions on Signal and Information Processing 9 e13.
2. E. S. Preda M. Mammou K. Tourapis A. M. Kim J. Graziosi D. B. ... & Budagavi M. 2019. Video-based point-cloud-compression standard in MPEG: From evidence collection to committee draft [standards in a nutshell]. IEEE Signal Processing Magazine 36(3) 118-123.
3. Lin T. L. Bu H. B. Chen Y. C. Yang J. R. Liang C. F. Jiang K. H. ... & Yue X. F. 2021. Efficient Quadtree Search for HEVC Coding Units for V-PCC. IEEE Access 9 139109-139121.
4. Xiong J. Gao H. Wang M. Li H. & Lin W. 2021. Occupancy map guided fast video-based dynamic point cloud coding. IEEE Transactions on Circuits and Systems for Video Technology 32(2) 813-825.
5. Rate-Distortion-Guided Learning Approach with Cross-Projection Information for V-PCC Fast CU Decision
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