This work studies the problem of violence detection in audio data, which can be used for automated content rating. We employ some popular frame-level audio features both from the time and frequency domain. Afterwards, several statistics of the calculated feature sequences are fed as input to a Support Vector Machine classifier, which decides about the segment content with respect to violence. The presented experimental results verify the validity of the approach and exhibit a better performance than the other known approaches. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Giannakopoulos, T., Kosmopoulos, D., Aristidou, A., & Theodoridis, S. (2006). Violence content classification using audio features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3955 LNAI, pp. 502–507). https://doi.org/10.1007/11752912_55
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