{"title":"Correction to “Low-complexity patch projection method for efficient and lightweight point-cloud compression”","authors":"","doi":"10.4218/etr2.12746","DOIUrl":null,"url":null,"abstract":"<p><b>Sungryeul Rhyu</b> | <b>Junsik Kim | Gwang Hoon Park | Kyuheon Kim</b></p><p>Low-complexity patch projection method for efficient and lightweight point-cloud compression</p><p>https://doi.org/10.4218/etrij.2023-0242</p><p><i>ETRI Journal</i>, Volume 46, Issue 4, August 2024, pp. 683–696.</p><p>In the article entitled “Low-complexity patch projection method for efficient and lightweight point-cloud compression”, the authors would like to correct the funding information of their article. It should be written as follows:</p><p><b>Funding information</b></p><p>This study was supported by the Information Technology Research Center of the Ministry of Science and ICT, Korea (grant number: IITP-2024-2021-0-02046) and the Institute of Information & Communications Technology Planning & Evaluation, Korea (grant number: RS-2023-00227431, Development of 3D space digital media standard technology).</p><p>The authors would like to apologize for the inconvenience caused.</p>","PeriodicalId":11901,"journal":{"name":"ETRI Journal","volume":"46 6","pages":"1125"},"PeriodicalIF":1.3000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.4218/etr2.12746","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ETRI Journal","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.4218/etr2.12746","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Sungryeul Rhyu | Junsik Kim | Gwang Hoon Park | Kyuheon Kim
Low-complexity patch projection method for efficient and lightweight point-cloud compression
https://doi.org/10.4218/etrij.2023-0242
ETRI Journal, Volume 46, Issue 4, August 2024, pp. 683–696.
In the article entitled “Low-complexity patch projection method for efficient and lightweight point-cloud compression”, the authors would like to correct the funding information of their article. It should be written as follows:
Funding information
This study was supported by the Information Technology Research Center of the Ministry of Science and ICT, Korea (grant number: IITP-2024-2021-0-02046) and the Institute of Information & Communications Technology Planning & Evaluation, Korea (grant number: RS-2023-00227431, Development of 3D space digital media standard technology).
The authors would like to apologize for the inconvenience caused.
期刊介绍：
ETRI Journal is an international, peer-reviewed multidisciplinary journal published bimonthly in English. The main focus of the journal is to provide an open forum to exchange innovative ideas and technology in the fields of information, telecommunications, and electronics.
Key topics of interest include high-performance computing, big data analytics, cloud computing, multimedia technology, communication networks and services, wireless communications and mobile computing, material and component technology, as well as security.
With an international editorial committee and experts from around the world as reviewers, ETRI Journal publishes high-quality research papers on the latest and best developments from the global community.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
