Audio-Visual fusion for detecting violent scenes in videos

Authors:
Theodoros Giannakopoulos;Alexandros Makris;Dimitrios Kosmopoulos;Stavros Perantonis;Sergios Theodoridis
Affiliations:
Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center of Scientific Research Demokritos, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center of Scientific Research Demokritos, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center of Scientific Research Demokritos, Greece;Computational Intelligence Laboratory, Institute of Informatics and Telecommunications, National Center of Scientific Research Demokritos, Greece;Department of Informatics and Telecommunications, University of Athens, Greece
Venue:
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Year:
2010

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Abstract

In this paper we present our research towards the detection of violent scenes in movies, employing fusion methodologies, based on learning Towards this goal, a multi-step approach is followed: initially, automated auditory and visual processing and analysis is performed in order to estimate probabilistic measures regarding particular audio and visual related classes At a second stage, a meta-classification architecture is adopted, which combines the audio and visual information, in order to classify mid-term video segments as “violent” or “non-violent” The proposed scheme has been evaluated on a real dataset from 10 films.