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Dynamic 3D point cloud streaming: distortion and concealment

Published: 02 July 2021 Publication History

Abstract

We present a study on the impact of packet loss on dynamic 3D point cloud streaming, encoded with MPEG Video-based Point Cloud Compression (V-PCC) standard. We show the distortion when different channels of V-PCC bitstream are lost, with the loss of occupancy and geometry data impacting the quality most significantly. Our results point to the need for better error concealment techniques. We end the paper by presenting preliminary thoughts and experimental results of two naive error concealment techniques in the point cloud domain, for attributes and geometry data, respectively, and highlight the limitations of each.

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Cited By

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  • (2024)Graph structure extrapolation for out-of-distribution generalizationProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3693185(27846-27874)Online publication date: 21-Jul-2024
  • (2024)Analyzing the applicability of psychometric QoE modeling for projection-based point cloud video quality assessmentJournal on Image and Video Processing10.1186/s13640-024-00655-y2024:1Online publication date: 19-Nov-2024
  • (2024)GESA: Exploring Loss-based Adversarial Attacks in Volumetric Media Streaming2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR62202.2024.00061(342-348)Online publication date: 7-Aug-2024
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cover image ACM Conferences
NOSSDAV '21: Proceedings of the 31st ACM Workshop on Network and Operating Systems Support for Digital Audio and Video
July 2021
128 pages
ISBN:9781450384353
DOI:10.1145/3458306
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

Publication History

Published: 02 July 2021

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Author Tags

  1. V-PCC
  2. compression
  3. error concealment
  4. experiments
  5. packet loss

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  • Research-article

Funding Sources

  • Singapore Ministry of Education
  • Ministry of Science and Technology of Taiwan

Conference

MMSys '21
Sponsor:
MMSys '21: 12th ACM Multimedia Systems Conference
September 28 - October 1, 2021
Istanbul, Turkey

Acceptance Rates

NOSSDAV '21 Paper Acceptance Rate 15 of 52 submissions, 29%;
Overall Acceptance Rate 118 of 363 submissions, 33%

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Cited By

View all
  • (2024)Graph structure extrapolation for out-of-distribution generalizationProceedings of the 41st International Conference on Machine Learning10.5555/3692070.3693185(27846-27874)Online publication date: 21-Jul-2024
  • (2024)Analyzing the applicability of psychometric QoE modeling for projection-based point cloud video quality assessmentJournal on Image and Video Processing10.1186/s13640-024-00655-y2024:1Online publication date: 19-Nov-2024
  • (2024)GESA: Exploring Loss-based Adversarial Attacks in Volumetric Media Streaming2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)10.1109/MIPR62202.2024.00061(342-348)Online publication date: 7-Aug-2024
  • (2023)A Comparative Measurement Study of Point Cloud-Based Volumetric Video CodecsIEEE Transactions on Broadcasting10.1109/TBC.2023.324340769:3(715-726)Online publication date: Oct-2023
  • (2022)Machine Learning for Multimedia CommunicationsSensors10.3390/s2203081922:3(819)Online publication date: 21-Jan-2022
  • (2022)Implementation and Demonstration of Real-time Point Cloud Streaming System using HoloLens2022 IEEE International Conference on Consumer Electronics - Taiwan10.1109/ICCE-Taiwan55306.2022.9869044(221-222)Online publication date: 6-Jul-2022

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