(The Eurographics Association, 2017) Ronfard, Rémi; William Bares and Vineet Gandhi and Quentin Galvane and Remi Ronfard
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.