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- URN zum Zitieren dieses Dokuments:
- urn:nbn:de:bvb:355-epub-508677
- DOI zum Zitieren dieses Dokuments:
- 10.5283/epub.50867
Alternative Links zum Volltext:Verlag
Zusammenfassung
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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