VSD, a public dataset for the detection of violent scenes in movies: design, annotation, analysis and evaluation

Claire-Hélène Demarty 1 Cédric Penet 1, 2 Mohammad Soleymani 3 Guillaume Gravier 2
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Content-based analysis to find where violence appears in multimedia content has several applications, from parental control and children protection to surveillance. This paper presents the design and annotation of the Violent Scene Detection dataset, a corpus targeting the detection of physical violence in Hollywood movies. We discuss definitions of physical violence and provide a simple and objective definition which was used to annotate a set of 18 movies, thus resulting in the largest freely-available dataset for such a task. We discuss borderline cases and compare with annotations based on a subjective definition which requires multiple annotators. We provide a detailed analysis of the corpus, in particular regarding the relationship between violence and a set of key audio and visual concepts which were also annotated. The VSD dataset results from two years of benchmarking in the framework of the MediaEval initiative. We provide results from the 2011 and 2012 benchmarks as a validation of the dataset and as a state-of-the-art baseline. The VSD dataset is freely available at the address: http://www.technicolor.com/en/innovation/research-innovation/scientific-data-sharing/violent-scenes-dataset..
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Article dans une revue
Multimedia Tools and Applications, Springer Verlag, 2014, 74 (17), pp.7379--7404. 〈10.1007/s11042-014-1984-4〉
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https://hal.inria.fr/hal-01026152
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Soumis le : dimanche 20 juillet 2014 - 17:19:26
Dernière modification le : mercredi 16 mai 2018 - 11:23:06

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Claire-Hélène Demarty, Cédric Penet, Mohammad Soleymani, Guillaume Gravier. VSD, a public dataset for the detection of violent scenes in movies: design, annotation, analysis and evaluation. Multimedia Tools and Applications, Springer Verlag, 2014, 74 (17), pp.7379--7404. 〈10.1007/s11042-014-1984-4〉. 〈hal-01026152〉

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