Affective Impact of Movies Dataset
This dataset is intended to be used for benchmarking techniques that automatically detect video content that depicts violence, or predict the affective impact that video content will have on viewers (valence - arousal). It consists of around 10,000 video clips extracted from about 100-200 movies, both professionally made and amateur movies. Movies are shared under Creative Commons licenses that allow redistribution.
The dataset was validated during the 2015 Affective Impact of Movies Task at the MediaEval Benchmarking Initiative for Multimedia Evaluation.
For more details see:
- M. Sjöberg, Y. Baveye, H. Wang, V.L. Quang, B. Ionescu, E. Dellandréa, M. Schedl, C.-H. Demarty, L. Chen, “The MediaEval 2015 Affective Impact of Movies Task”, MediaEval Benchmarking Initiative for Multimedia Evaluation, vol. 1436, CEUR-WS.org, ISSN: 1613-0073, Wurzen, Germany, September 14-15, 2015 (task overview paper describing the dataset and the task - download PDF).
Download the dataset:
You can download the data from: http://liris-accede.ec-lyon.fr/.
Mats Sjöberg, Helsinki Institute for Information Technology HIIT, University of Helsinki, Finland; Yoann Baveye, Technicolor & Ecole Centrale de Lyon, LIRIS, France; Hanli Wang, Tongji University, China; Vu Lam Quang, University of Science, VNU-HCMC, Vietnam; Bogdan Ionescu, University "Politehnica" of Bucharest, Romania; Emmanuel Dellandréa, Ecole Centrale de Lyon, LIRIS, France; Markus Schedl, Johannes Kepler University, Linz, Austria; Claire-Hélène Demarty, Technicolor, France; Liming Chen, Ecole Centrale de Lyon, LIRIS, France. Data annotation effort was carried out mainly by Bogdan Ionescu's team (University "Politehnica" of Bucharest, Romania), Hanli Wang's team (Tongji University, China), Vu Lam Quan's team (University of Science, VNU-HCMC, Vietnam), and Markus Schedl's team (Johannes Kepler University, Linz, Austria).