MTM at MediaEval 2013 Violent Scenes Detection: Through Acoustic-visual Transform

This paper describes the team MTM participation in the MediaEval 2013 campaign. We submitted one run at shot level that explores spatial correlation between acoustic-visual features. The motion features are computed to represent the video.The Mel Frequency Cepstral Coefficients (MFCC) of the acoustic signal, and their first and second order derivatives are exploited to represent audio. One main issue in designing movie shot classification is considered. This issue is "there is a correlation between velocity and acceleration and the acoustic features". Our approach relies in find canonical bases, using Canonical Correlation Analysis (CCA), in order to represent video. We also add spatial information using frame regions. We evaluate the performance of our proposed method on MediaEval 2013 Violent Scenes Detection in film data.