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Exploring Computer Vision for Film Analysis: A Case Study for Five Canonical Movies

URN to cite this document:
urn:nbn:de:bvb:355-epub-508677
DOI to cite this document:
10.5283/epub.50867
Schmidt, Thomas ; El-Keilany, Alina ; Eger, Johannes ; Kurek, Sarah
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Date of publication of this fulltext: 25 Oct 2021 08:44


Abstract

We present an exploratory study in the context of digital film analysis inspecting and comparing five canonical movies by applying methods of computer vision. We extract one frame per second of each movie which we regard as our sample. As computer vision methods we explore image-based object detection, emotion recognition, gender and age detection with state-of-the-art models. We were able to ...

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