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  "docId": "10.5594-JMI.2023.3269750",
  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
    "abbrevTitle$meta": {
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      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "abstract": "Volumetric models and assets are great elements for content creators to use in the development of appealing immersive experiences. We can think about live sporting events where the entire scene is captured as volumetric elements and streamed to the mobile devices of thousands of consumers. However, distribution to consumers of high-quality immersive experiences using volumetric assets has been challenged by several factors including visual fidelity, bandwidth, latency, and device processing power. Content creators have been constrained from expressing the full potential intended for their original experience. In this article, you will learn about methods to stream volumetric video assets from an end-to-end perspective including an overview of production systems and suitable volumetric compression profiles (using point cloud compression) that can be used to render on any display for a wider reach: virtual reality (VR) headsets, augmented reality (AR) glasses, and flat screens. An ecosystem overview with device capabilities and performance is presented, and an analysis of content and end-user security functionality is further included. Finally, this article explores the evolution and opportunities of volumetric video streaming using 5G cloud/edge infrastructure to process and distribute volumetric content to any device, minimizing device processor power consumption, minimizing overall delay, and providing the best possible user experience.",
    "abstract$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "authors": [
      {
        "bio": "Mauricio Aracena serves as the president of the Virtual Reality Industry Forum (VRIF), Fremont, CA, and is the media standardization manager at Ericsson, Stockholm, Sweden. With more than 20 years of experience working with multimedia technologies for the mobile phone industry, he has actively contributed to defining the next generation of multimedia standards for 3GPP, ATSC, and DVB. He is currently is leading the standardization strategy for XR within Ericsson.",
        "name": "Mauricio Aracena",
        "orcid": "0009-0005-9183-7440"
      },
      {
        "bio": "Mick O’Doherty works as a technical solutions manager with Irdeto, Sligo, Ireland, focusing on partners in the video content security domain. He is originally from Dublin, Ireland, and has worked in a number of countries over the last 20 years, mainly the U.K., Turkey, and Canada. His background is in telecoms audio and video software and systems development, but he has worked on the operator side of the table also as well as with a number of web and mobile start-ups, mainly in the West of Ireland. He has previously worked in standards in the Java JAIN area and supported standards efforts in the SIP domain. He is currently active in the VRIF, focusing on immersive media security.",
        "name": "Mick O’Doherty"
      },
      {
        "bio": "Oliver Schreer is the head of the Immersive Media and Communication Research Group, Vision and Imaging Technologies Department, Fraunhofer HHI, Berlin, Germany, and an associate professor at Technical University, Berlin. His main research fields are 3D video processing and immersive and interactive media services and applications exploiting augmented and virtual reality (VR) technologies. He has published more than 140 articles and acted as the main editor of several books. In May 2019, he and his colleagues I. Feldmann and P. Kauff were awarded the Joseph-von-Fraunhofer Prize titled “Realistic People in Virtual Worlds—A Movie as a True Experience.”",
        "name": "Oliver Schreer"
      },
      {
        "bio": "Sebastian Schwarz is a research leader in the Video Coding Research Team, Nokia Technologies, Munich, Germany. His main research topics are compression and delivery of volumetric video content. He has authored more than 40 conference papers and journal articles on immersive media and video coding topics. He was an editor of the ISO/IEC committee draft for video-based point cloud compression (ISO/IEC 23090-5) and a cochair of the MPEG Ad Hoc Group on System Technologies for V-PCC.",
        "name": "Sebastian Schwarz"
      }
    ],
    "authors$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "contentType": "orig-research",
    "contentType$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "copyright": {
      "holder": "SMPTE",
      "holder$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      },
      "year": "2023",
      "year$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      }
    },
    "copyright$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docId": "10.5594-JMI.2023.3269750",
    "docId$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 132, Issue: 5, June 2023)",
    "docLabel$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docTitle": "Solving the Challenge of Volumetric Video Production and Streaming: An End-to-End Perspective of Technologies and Device Ecosystem Capabilities and Performance",
    "docTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "docType": "Journal Article",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
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    "doi": "10.5594/JMI.2023.3269750",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
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    "href": "https://doi.org/10.5594/JMI.2023.3269750",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
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    "issn": {
      "electronic": "2160-2492",
      "electronic$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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      "print": "1545-0279",
      "print$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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    "issn$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "journalAcronym": "MIJR",
    "journalAcronym$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "journalTitle": "SMPTE Motion Imaging Journal",
    "journalTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "keywords": [
      "5G Cloud",
      "Augmented Reality",
      "Extended Reality",
      "Meshes",
      "Point Cloud",
      "Production Workflow",
      "Video Compression",
      "Virtual Reality",
      "Volumetric Video"
    ],
    "keywords$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "number": "5",
    "number$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "pages": "16–29",
    "pages$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "publicationDate": "2023-06-01",
    "publicationDate$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "publisher": "SMPTE",
    "publisher$meta": {
      "confidence": "high",
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    "publisherLocation": {
      "city": "White Plains, NY",
      "city$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "country": "USA",
      "country$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2023/7261654/10145494/10145507.xml) via idamsIngest.js",
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        "note": "References parsed from the published PDF (Journal Article Repository/2023/7261654/10145494/10145507.pdf). SMPTE's library delivery has no reference file or full text for this paper (src/main/reports/smpte-upstream/referenceFilesTruthTable.md). Cross-check: Crossref lists 8 reference(s) for this DOI; 8 parsed from the PDF.",
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    "volume": "132",
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