Affect in Multimedia: Benchmarking Violent Scenes Detection

In this article, we report on the creation of a publicly available, common evaluation framework for Violent Scenes Detection (VSD) in Hollywood and YouTube videos. We propose a robust data set, the VSD96, with more than 96 hours of video of various genres, annotations at different levels of detail (...

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Veröffentlicht in:	IEEE transactions on affective computing 2022-01, Vol.13 (1), p.347-366
Hauptverfasser:	Constantin, Mihai Gabriel, Stefan, Liviu-Daniel, Ionescu, Bogdan, Demarty, Claire-Helene, Sjoberg, Mats, Schedl, Markus, Gravier, Guillaume
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Annotations Benchmark testing benchmarking Benchmarks Computer Science Computer Vision and Pattern Recognition Datasets Experimentation literature review Machine Learning Motion pictures multi-modal content description Multimedia Outliers (statistics) Sound Task analysis Video Videos Violent scenes detection Visual aspects VSD96 data set YouTube
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