In this paper, we present experiments on continuous time, continuous scale affective movie
content recognition (emotion tracking). A major obstacle for emotion research has been the …

'You are the music/While the music lasts' TS Eliot, The Four Quartets Do babies remember
music from the womb? Can classical music increase your child's IQ? Is music good for …

As the scale of the film industry grows, the demand for well-established movie databases is
also growing. The genre of a movie supplies information on its overall content and has …

Prediction of movie genres is an intriguing problem that has several applications in
designing recommendation systems for the audiences, analyzing movie box office …

Film music varies tremendously across genre in order to bring about different responses in
an audience. For instance, composers may evoke passion in a romantic scene with lush …

This thesis investigates the potential of deep neural networks for representations learning
from audio signals. Novel deep learning models based on convolutional and recurrent …

In this paper, we present a novel computer audition task: audio-based video game genre
classification. The aim of this study is threefold: 1) to check the feasibility of the proposed …

Movie genre classification is an active research area in machine learning. However, due to
the limited labels available, there can be large semantic variations between movies within a …

Movies are one of the most prominent means of entertainment. The widespread use of the
Internet in recent times has led to large volumes of data related to movies being generated …

This paper presents our investigations on automatic daily sound recognition using ensemble
methods. Two benchmark datasets RWCP-DB and Sound Dataset are utilized for this …