{"title":"A Low-Complexity Patch Segmentation in the V-PCC Encoder","authors":"Y. Kim, Yong-Hwan Kim","doi":"10.1109/ITC-CSCC58803.2023.10212807","DOIUrl":null,"url":null,"abstract":"The video-based point cloud compression(V-PCC) is the compression standard of the dynamic dense point cloud established by ISO/IEC MPEG-I in 2021. It is designed to achieve significant data size reduction for the dynamic dense point cloud. However, the patch generation process in the V-PCC encoding is computationally very complex. To solve this problem, we propose a fast algorithm for patch partitioning using a look-up table instead of the k-d tree search. Experimental results show the reduction of the computational complexity of the patch segmentation process by over 40% while achieving the same encoding results as the original method.","PeriodicalId":220939,"journal":{"name":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITC-CSCC58803.2023.10212807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The video-based point cloud compression(V-PCC) is the compression standard of the dynamic dense point cloud established by ISO/IEC MPEG-I in 2021. It is designed to achieve significant data size reduction for the dynamic dense point cloud. However, the patch generation process in the V-PCC encoding is computationally very complex. To solve this problem, we propose a fast algorithm for patch partitioning using a look-up table instead of the k-d tree search. Experimental results show the reduction of the computational complexity of the patch segmentation process by over 40% while achieving the same encoding results as the original method.