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Lots of approaches for automated video analysis have been suggested since the 1990ies, which have the potential to support quantitative and qualitative analysis in film studies. However, software solutions for the scholarly study of film that utilise video analysis algorithms are still relatively rare. In this paper, we aim to provide an overview of related work in this field, review current developments in computer vision, compare machine and human performance for some visual recognition tasks, and outline the requirements for video analysis software that would optimally support scholars of film studies.
Pustu-Iren et al. (Sun,) studied this question.