Five Challenges for Intelligent Cinematography and Editing
Abstract
In this position paper, we propose five challenges for advancing the state of the art in intelligent cinematography and editing by taking advantage of the huge quantity of cinematographic data (movies) and metadata (movie scripts) available in digital formats. This suggests a data-driven approach to intelligent cinematography and editing, with at least five scientific bottlenecks that need to be carefully analyzed and resolved.we briefly describe them and suggest some possible avenues for future research in each of those new directions.
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Origin : Files produced by the author(s)
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