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    "abbrevTitle": "SMPTE Mot. Imag. J",
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      "source": "parsed",
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    "abstract": "This paper describes the challenges and capabilities of an implementation of a high dynamic range layered codec approach for high-efficiency video coding (HEVC) Main10 4K content for top tier over-the-top/video on demand (OTT/VOD) movie distributors known as “Dolby Vision.” While Dolby Vision is already designed to support both AVC (H.264) and HEVC (H.265), the current tools are designed for batch-mode testing with reference-level encoders that generally do not meet the performance and robustness demands of an automated production system. To create a viable production system, particular attention must be paid to optimization and parallelization of the HEVC pipeline to create the final dual layer streams. The production high dynamic range (HDR) HEVC encoder must also be integrated into the client encoder system application infrastructure, preserving the clients robustness, testability and quality requirements. The final streams must be tested in a similarly performant decoder platform for manual and automated test and verification. Because Dolby Vision is a novel technology that requires specialized hardware for viewing, careful consideration must be given to the visual verification process with a solution that offers powerful viewing tools and defect testability. Finally, the automated decoder verification must test both the backwards-compatible base layer and the high dynamic range enhancement layer. This paper covers these issues and the technical solutions that were implemented to address them.",
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    "authors": [
      {
        "bio": "Raul Diaz joined Vanguard Video as president in 2012 and took on chief executive officer responsibilities in 2013, bringing more than 27 years of technical, management, and sales experience in digital video, mobile technology, and cloud services. Through the acquisition of his company in 2010, he was vice president sales and marketing at ArcSoft, a world leader in multimedia technology with customers, including most of the world's top mobile, PC, and camera companies. Before, he worked as an engineering director at STMicroelectronics and as vice president of sales and marketing for InterVideo, which he helped to grow from a small company of $3M in revenue to a profitable, publicly-traded company with over $125M in revenue. InterVideo was sold to Corel in 2007. Diaz earned a BSEE from Yale University in 1985. He holds four patents in digital video, four patents pending for networking technologies, and one patent pending for image processing.",
        "name": "Raul Diaz"
      },
      {
        "bio": "Sam Blinstein joined Vanguard Video, an established software startup focusing on a variety of video analysis and compression technologies, as the technical product manager. His contributions include video compression R&D, data analysis pipelines and supporting applications development, as well as extensive work as a technical lead focused on cultivating top-tier client engagement with their engineering teams. He holds a B.A. in physics and mathematics from Northwestern University and a Ph.D. in mathematics from the University of California.",
        "name": "Sam Blinstein"
      },
      {
        "bio": "Sheng Qu is a senior staff engineer at Dolby Laboratories, Inc., and manages Dolby Vision Pro Encoder and Dolby Vision consumer decoder deliverables. He has more than 13 years of engineering experience in the consumer video development, including more than seven years as tech lead in the Advanced Imaging Technology Department at Dolby Laboratories, Inc. Qu holds BSEE and an MSEE from Tsinghua University, and an M.S. in computer science from Iowa State University. Such systems have been implemented and deployed by companies such as QuickFire Networks (http://www.quickfirenetworks.com) and Kontron (http://www.kontron.com).",
        "name": "Sheng Qu"
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    "contentType": "orig-research",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2016/7261654/7399457/07399470.xml) via idamsIngest.js",
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    "copyright": {
      "holder": "Society of Motion Picture and Television Engineers, Inc.",
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        "confidence": "high",
        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2016/7261654/7399457/07399470.xml) via idamsIngest.js",
        "source": "parsed",
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        "version": "smpte-idams-publication@v1"
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      "year": "2016",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2016/7261654/7399457/07399470.xml) via idamsIngest.js",
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      "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2016/7261654/7399457/07399470.xml) via idamsIngest.js",
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    "docLabel": "SMPTE Motion Imaging Journal ( Volume: 125, Issue: 1, 2016)",
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      "version": "smpte-idams-publication@v1"
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    "docTitle": "Integrating HEVC Video Compression with a High Dynamic Range Video Pipeline",
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    "doi": "10.5594/j18659",
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        "note": "Ingested from SMPTE IDAMS <publication> (_source/SMPTE/Journal Article Repository/2016/7261654/7399457/07399470.xml) via idamsIngest.js",
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    "journalAcronym": "MIJR",
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    "journalTitle": "SMPTE Motion Imaging Journal",
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    "keywords": [
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      "Dolby Vision",
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    "number": "1",
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    "pages": "14–21",
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