skip to main content
10.1145/3503161.3554780acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
abstract

APCCPA '22: 1st International Workshop on Advances in Point Cloud Compression, Processing and Analysis

Published: 10 October 2022 Publication History

Abstract

Point clouds are attracting much attention from academia, industry and standardization organizations such as MPEG, JPEG, and AVS. 3D Point clouds consisting of thousands or even millions of points with attributes can represent real-world objects and scenes in a way that enables an improved immersive visual experience and facilitates complex 3D vision tasks. In addition to various point cloud analysis and processing tasks (e.g., segmentation, classification, 3D object detection, registration), efficient compression for these large-scale 3D visual data is essential to make point cloud applications more effective. This workshop focuses on point cloud processing, analy sis, and compression in challenging situations to further improve visual experience and machine vision performance. Both learning-based and non-learning-based perception-oriented optimization algorithms for compression and processing are solicited. Contributions that advance the state-of-the-art in analysis tasks, are also welcomed.

Cited By

View all

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MM '22: Proceedings of the 30th ACM International Conference on Multimedia
October 2022
7537 pages
ISBN:9781450392037
DOI:10.1145/3503161
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 October 2022

Check for updates

Author Tags

  1. deep learning
  2. point cloud analysis
  3. point cloud compression
  4. point cloud processing
  5. quality assessment

Qualifiers

  • Abstract

Funding Sources

  • Shenzhen Science and Technology Plan Basic Research Project
  • Natural Science Foundation of China
  • Guangdong Basic and Applied Basic Research Foundation
  • National Key R&D Program of China
  • Shenzhen Fundamental Research Program

Conference

MM '22
Sponsor:

Acceptance Rates

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)22
  • Downloads (Last 6 weeks)5
Reflects downloads up to 13 Feb 2025

Other Metrics

Citations

Cited By

View all

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media