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Dias, L., Brandão, T. & Batista, F. (2016). Detecting violence on movie excerpts - A machine-learning approach based on audio and video features. INForum 2016. --, -----

L. J. Dias et al.,  "Detecting violence on movie excerpts - A machine-learning approach based on audio and video features", in INForum 2016, Lisboa, vol. --, pp. -----, 2016

@misc{dias2016_1766463803421,
	author = "Dias, L. and Brandão, T. and Batista, F.",
	title = "Detecting violence on movie excerpts - A machine-learning approach based on audio and video features",
	year = "2016",
	howpublished = "Digital",
	url = ""
}

TY  - CPAPER
TI  - Detecting violence on movie excerpts - A machine-learning approach based on audio and video features
T2  - INForum 2016
VL  - --
AU  - Dias, L.
AU  - Brandão, T.
AU  - Batista, F.
PY  - 2016
SP  - -----
CY  - Lisboa
AB  - Violence in movies and its relation to children’s behavior has been a subject of many social studies,  specially in today’s world where parents have less control on the multimedia contents accessed by their  children. This paper presents a study on the automatic detection of violence on movie excerpts using machine-learning algorithms. The proposed approach explores audio and visual features extracted from the movie excerpts combined with the widely used machine learning classifiers – Support Vector Machine (SVM) and Neural Network – in order to detect the presence of violence in a movie excerpt. The impact of using audio and visual features, independently or combined, is analyzed. After experimenting different combinations of audio and video features, interesting conclusions have been drawn: the use of audio features seems to be imperative in this task and, from the video signal, the most representative features seem to be the ones related to motion.
ER  -