{
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  "docId": "10.5594-JMI.2022.3160832",
  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "abstract": "A solution is proposed on top of Kubernetes to dynamically allocate service resources without service interruption. It is the basis for optimizing a live video compression service. It is demonstrated that dynamic resource allocation can benefit a video compression application, either by reducing the resource consumption, hence costs, or by enhancing delivered video quality. By combining the proposed solution with an elastic encoder and machine learning (ML) for content complexity estimation, a content- and application-aware dynamic resource orchestrator for realtime video compression is designed. Preliminary experimental results using ATEME Titan Live Micro-Services¹encoders demonstrate substantial bitrate reductions on even the most demanding channel.",
    "abstract$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "authors": [
      {
        "bio": "Abdelmajid Moussaoui received an engineering degree in multimedia networking from Telecom-Paris, Paris, France, in 2020. He is a research engineer in the Research and Innovation Department of Ateme, Vélizy, France. His current research areas are video encoding, codec orchestration in the cloud, and machine learning. He holds several pending patents related to the optimization of the orchestration of live video channels distribution in the cloud.",
        "name": "Abdelmajid Moussaoui",
        "orcid": "0000-0003-2421-3222"
      },
      {
        "bio": "Mickaël Raulet is the chief technology officer at Ateme, Vélizy, France, where he drives research and innovation with various collaborative research and development projects. He represents Ateme in several standardization bodies: Advanced Television Systems Committee (ATSC), Digital Video Broadcasting (DVB), 3rd Generation Partnership Project (3GPP), International Organization for Standardization / International Electrotechnical Commission (ISO/IEC), International Telecommunication Union (ITU), Moving Picture Experts Group (MPEG), Dynamic Adaptive Streaming over HTTP Industry Forum (DASH-IF), Common Media Application Format- Industry Forum (CMAF-IF), Streaming Video Alliance (SVA), and UHDForum. He is the author of numerous patents and more than 100 conference papers and journal scientific articles. In 2006, he received a PhD from INSA, Rennes, France, in electronic and signal processing, in collaboration with Mitsubishi Electric ITE, Rennes, France.",
        "name": "Mickaël Raulet",
        "orcid": "0000-0002-9704-1612"
      },
      {
        "bio": "Thomas Guionnet is a fellow research engineer at Ateme, Vélizy, France, where he currently leads the innovation team’s research on artificial intelligence applied to video compression. Beyond his work for Ateme, he has also contributed to the International Organization for Standardization / Moving Picture Experts Group (ISO/MPEG) - International Electrotechnical Commission Telecommunication Standardization Sector / Video Coding Experts Group (ITU-T/VCEG) - versatile video coding (VVC), HEVC, and high efficiency video coding- 3 dimensions (HEVC-3D) standardization process; he teaches video compression at the ESIR Engineering School, Rennes, France; and he has authored numerous publications including patents, international conference papers, and journal articles. Prior to joining Ateme, he spent 10 years at Envivio conducting research on real-time encoding, video-preprocessing, and video quality assessment. He holds a PhD from Rennes 1 University, Rennes.",
        "name": "Thomas Guionnet",
        "orcid": "0000-0002-9196-8142"
      }
    ],
    "authors$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "contentType": "orig-research",
    "contentType$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "copyright": {
      "holder": "SMPTE",
      "holder$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      },
      "year": "2022",
      "year$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      }
    },
    "copyright$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docId": "10.5594-JMI.2022.3160832",
    "docId$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 131, Issue: 4, May 2022)",
    "docLabel$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docTitle": "Dynamic Seamless Resource Allocation for Live Video Compression on a Kubernetes Cluster",
    "docTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
    },
    "docType": "Journal Article",
    "docType$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "doi": "10.5594/JMI.2022.3160832",
    "doi$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "href": "https://doi.org/10.5594/JMI.2022.3160832",
    "href$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "issn": {
      "electronic": "2160-2492",
      "electronic$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      },
      "print": "1545-0279",
      "print$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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    },
    "issn$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "journalAcronym": "MIJR",
    "journalAcronym$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.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$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "keywords": [
      "Artificial Intelligence",
      "Cloud",
      "Content-Adaptive Encoding",
      "HEVC",
      "Kubernetes",
      "Machine Learning",
      "Video Coding",
      "Video Compression",
      "Video Quality"
    ],
    "keywords$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "number": "4",
    "number$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "pages": "45–49",
    "pages$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "publicationDate": "2022-05-01",
    "publicationDate$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "publisher": "SMPTE",
    "publisher$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "publisherLocation": {
      "city": "White Plains, NY",
      "city$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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      "country": "USA",
      "country$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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    "publisherLocation$meta": {
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      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
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    "references": {
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        "confidence": "medium",
        "note": "References parsed from the published PDF (Journal Article Repository/2022/7261654/9772088/09772098.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 15 reference(s) for this DOI; 15 parsed from the PDF.",
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        "overridden": true,
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        "updated": "2026-10-07T20:50:36.681Z",
        "version": "extractDocs.js@commit:d25f34130540"
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        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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    "volume": "131",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2022/7261654/9772088/09772098.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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