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    "abstract": "We present a deep learning based algorithm that can automatically rotoscope people on a given scene, without any user input. Current approaches to image matting require a significant amount of human input, whether by manually rotoscoping or by doing a chroma key. We show that this algorithm can perform comparably and even surpass the rotoscoping capabilities of After Effects' RotoBrush tool, in a variety of scenes comprising different lighting conditions, movements, and subjects. This makes it suitable for an integration within a VFX pipeline.",
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        "affiliation": "Motion Picture Science Rochester Institute of Technology 22 Green Isle Rd, Henrietta NY 14467",
        "name": "Oscar Estrada"
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      {
        "affiliation": "Software Engineering Rochester Institute of Technology Rochester, NY",
        "name": "Nicholas Peretti"
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        "affiliation": "Faculty Advisor Rochester Institute of Technology Rochester, NY",
        "name": "Ricardo Figueroa"
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    "docTitle": "Rotoscope Automation with Deep Learning",
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