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    "abstract": "Modern content is rapidly shifting from the standard dynamic range (SDR) color volume towards the high dynamic range and wide color gamut (HDR-WCG) color volume. It is thus crucial to have high-performance video quality metrics. However, existing subjective databases do not provide adequate test coverage for professional HDR-WCG video content. We describe a subjective video quality study aimed to be relevant for existing and near future HDR-WCG. Due to the COVID-19 pandemic, the experiment was designed for remote testing rather than a typical laboratory environment. We carefully analyzed the subjective results and concluded that obtaining comparable data reliability in our remote testing environment with a controlled laboratory environment is possible. This opens the door for large-scale video quality testing. We applied the subjective data set to compare image and video quality metrics such as video multi-method assessment fusion (VMAF), high dynamic range-visual difference predictor (HDR-VDP), and high dynamic range-visual quality measure (HDR-VQM). We identified several ways to improve the accuracy of VMAF on HDR-WCG content.",
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    "authors": [
      {
        "name": "Anustup Choudhury"
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      {
        "name": "Lukas Krasula"
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      {
        "name": "Scott Daly"
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      {
        "name": "Zhi Li"
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      {
        "name": "Robin Atkins"
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      {
        "name": "Ludovic Malfait"
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    "docLabel": "MIJ 2024, Volume 133, Number 5 (pp. 40 to 51)",
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    "docTitle": "Testing 4K HDR-WCG Professional Video Content for Subjective Quality Using a Remote Testing Approach",
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    "issn": {
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    "keywords": [
      "HDR",
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