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  "document": {
    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "source": "parsed",
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    "abstract": "This paper explores how the appearance of cinematic motion (the characteristic balance of smoothness and realism of motion commonly used in cinema) is affected by high-dynamic range (HDR) presentation. We report on a psychovisual experiment that investigated how observers rated the comparative smoothness of motion among scenes of different motion types (pans, action, slow movement), frame rates, and luminance levels. We found that to match the level of cinematic motion in today’s non-HDR presentation, the frame rate may need to either remain at 24 frames/sec or be increased to 30 frames/sec, depending on the type of motion and the luminance level of the scene. We conclude that by selecting the appropriate frame rate depending on the motion type in each scene, content creators will be able to achieve a similar cinematic motion without compromising their use of the HDR color palette.",
    "abstract$meta": {
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    "authors": [
      {
        "bio": "Jaclyn Pytlarz is a staff researcher at Dolby Laboratories, Sunnyvale, CA, where she has worked inside Dolby’s Applied Vision Science Group since 2014. Her research includes vision science surrounding color mapping and display management algorithms for high-dynamic range and wide-color-gamut displays. She holds a BS degree in motion picture science from the Rochester Institute of Technology, Rochester, NY, and an MS degree in computational and mathematical engineering from Stanford University, Stanford, CA. She was awarded the Institution of Engineering Technology (IET) Best Young Professional Award and the TVNewsCheck Technology Woman to Watch Award and is currently serving on the Education Advisory Committee for the Society of Motion Picture and Television Engineers.",
        "name": "Jaclyn Pytlarz",
        "orcid": "0000-0003-1940-0058"
      },
      {
        "bio": "Anustup Choudhury received a PhD and MS degrees in computer science from the University of Southern California (USC), Los Angeles, CA. He currently works in the Applied Vision Science Group, at Dolby Laboratories, Sunnyvale, CA, and his research interests include image/video analysis and processing, pattern recognition, computer vision, and machine learning. His work has been published in various reputed international conferences and journals and some of his papers have received special recognition.",
        "name": "Anustup Choudhury"
      },
      {
        "bio": "Robin Atkins is the director of the Applied Vision Science Group at Dolby Laboratories, Sunnyvale, CA, leading a team of researchers responsible for innovating new visual experiences and inventing video processing algorithms. His research encompasses studying and modeling the fundamentals of human vision through to developing complex software platforms. His work has been adopted in multiple international standards and has been integrated into millions of professional and consumer devices worldwide. He has degrees in engineering physics and electrical engineering.",
        "name": "Robin Atkins"
      }
    ],
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      "version": "smpte-idams-publication@v1"
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    "contentType": "orig-research",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "copyright": {
      "holder": "SMPTE",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "year": "2021",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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      "version": "smpte-idams-publication@v1"
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    "docId": "10.5594-JMI.2021.3083901",
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      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 130, Issue: 7, August 2021)",
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      "confidence": "high",
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      "source": "parsed",
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      "version": "smpte-idams-publication@v1"
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    "docTitle": "Achieving Cinematic Motion With High-Dynamic Range",
    "docTitle$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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    "docType": "Journal Article",
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    "doi": "10.5594/JMI.2021.3083901",
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    "href": "https://doi.org/10.5594/JMI.2021.3083901",
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    "issn": {
      "electronic": "2160-2492",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
        "source": "parsed",
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      "print": "1545-0279",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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    "issn$meta": {
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    "journalAcronym": "MIJR",
    "journalAcronym$meta": {
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    "journalTitle": "SMPTE Motion Imaging Journal",
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    "keywords": [
      "HDR",
      "HFR",
      "Motion",
      "Perception"
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    "keywords$meta": {
      "confidence": "high",
      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2021/7261654/9508108/09508137.xml) via idamsIngest.js",
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    "number": "7",
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    "pages": "42–50",
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    "publicationDate": "2021-08-01",
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      "city": "White Plains, NY",
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