Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds
文献类型：期刊论文
| 作者 | Xu, Yiqun3,4,5; Hu, Wei2; Wang, Shanshe3; Zhang, Xinfeng4; Wang, Shiqi1; Ma, Siwei3; Guo, Zongming2; Gao, Wen3 |
| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 31期号:5页码:1968-1982 |
| ISSN号 | 1051-8215 |
| 关键词 | Dynamic point clouds attribute coding inter-coding generalized graph Fourier transform |
| DOI | 10.1109/TCSVT.2020.3015901 |
| 英文摘要 | As 3D scanning devices and depth sensors advance, dynamic point clouds have attracted increasing attention as a format for 3D objects in motion, with applications in various fields such as immersive telepresence, navigation for autonomous driving and gaming. Nevertheless, the tremendous amount of data in dynamic point clouds significantly burden transmission and storage. To this end, we propose a complete compression framework for attributes of 3D dynamic point clouds, focusing on optimal inter-coding. Firstly, we derive the optimal inter-prediction and predictive transform coding assuming the Gaussian Markov Random Field model with respect to a spatio-temporal graph underlying the attributes of dynamic point clouds. The optimal predictive transform proves to be the Generalized Graph Fourier Transform in terms of spatio-temporal decorrelation. Secondly, we propose refined motion estimation via efficient registration prior to inter-prediction, which searches the temporal correspondence between adjacent frames of irregular point clouds. Finally, we present a complete framework based on the optimal inter-coding and our previously proposed intra-coding, where we determine the optimal coding mode from rate-distortion optimization with the proposed offline-trained lambda-Q model. Experimental results show that we achieve around 17% bit rate reduction on average over competitive dynamic point cloud compression methods. |
| 资助项目 | National Research and Development Project of China[2018YFB1003504] ; National Natural Science Foundation of China[61972009] ; National Natural Science Foundation of China[8201200601] ; Beijing Natural Science Foundation[4194080] ; High-Performance Computing Platform of Peking University |
| WOS研究方向 | Engineering |
| 语种 | 英语 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| WOS记录号 | WOS:000647394100023 |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/17741]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Hu, Wei; Ma, Siwei |
| 作者单位 | 1.City Univ Hong Kong, Dept Comp Sci, Hong Kong, Peoples R China 2.Peking Univ, Wangxuan Inst Comp Technol, Beijing 100871, Peoples R China 3.Peking Univ, Natl Engn Lab Video Technol, Beijing 100871, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xu, Yiqun,Hu, Wei,Wang, Shanshe,et al. Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2021,31(5):1968-1982. |
| APA | Xu, Yiqun.,Hu, Wei.,Wang, Shanshe.,Zhang, Xinfeng.,Wang, Shiqi.,...&Gao, Wen.(2021).Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,31(5),1968-1982. |
| MLA | Xu, Yiqun,et al."Predictive Generalized Graph Fourier Transform for Attribute Compression of Dynamic Point Clouds".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 31.5(2021):1968-1982. |
入库方式： OAI收割
来源：计算技术研究所
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