{
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  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "abstract": "The demand for media content in the form of audio, video, and images is growing at an unprecedented rate. To meet this demand, media content production is increasing rapidly. However, the process of producing, distributing, and monetizing content is often complex, expensive, and timeconsuming. Applying machine learning (ML) capabilities can allow for media companies to augment the work their teams are doing and provide capabilities that were previously prohibitively expensive or not even possible. ML capabilities are made available in one of three ways—built into software as a feature, consumed as an artificial intelligence (AI, of which ML is a subset) service [application programming interfaces (APIs) that can be consumed without ML expertise], and custom-trained models (which require data science expertise to train and deploy models).",
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      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "authors": [
      {
        "bio": "Liam Morrison is a principal solutions architect focusing in data sciences and machine learning for media & entertainment (M&E). He has been with AWS for six years focusing on M&E, and has been helping customers build resilient, scalable, secure, and cost-effective applications utilizing machine learning. He advises on how emerging technologies can help create new products/experiences, add features to current products, streamline processes with automation, and leverage new engagement channels for consumers.",
        "name": "Liam Morrison"
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    ],
    "authors$meta": {
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      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "copyright": {
      "holder": "SMPTE",
      "holder$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
      },
      "year": "2021",
      "year$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
        "version": "smpte-idams-publication@v1"
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    "copyright$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "docId": "10.5594-JMI.2021.3101580",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 130, Issue: 8, September 2021)",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "docTitle": "Utilizing Machine Learning for Video Processing",
    "docTitle$meta": {
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
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      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
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      "electronic": "2160-2492",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
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      "print": "1545-0279",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
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    "issn$meta": {
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      "source": "parsed",
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    "journalAcronym": "MIJR",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
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      "version": "smpte-idams-publication@v1"
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    "journalTitle": "SMPTE Motion Imaging Journal",
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      "source": "parsed",
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    "number": "8",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
      "version": "smpte-idams-publication@v1"
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    "pages": "107–111",
    "pages$meta": {
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
      "updated": "2026-10-07T17:09:33.718Z",
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    "publicationDate": "2021-09-01",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
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    "publisher": "SMPTE",
    "publisher$meta": {
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
      "source": "parsed",
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    "publisherLocation": {
      "city": "White Plains, NY",
      "city$meta": {
        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
        "source": "parsed",
        "updated": "2026-10-07T17:09:33.718Z",
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      "country": "USA",
      "country$meta": {
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9540011/09540056.xml) via idamsIngest.js",
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        "note": "References parsed from the published PDF (Journal Article Repository/2021/7261654/9540011/09540056.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 13 reference(s) for this DOI; 13 parsed from the PDF.",
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