Dialogue Scenes Detection in MPEG Movies: A Multi-expert Approach
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
A Multi-expert System for Movie Segmentation
MCS '02 Proceedings of the Third International Workshop on Multiple Classifier Systems
| Hi-index | 0.00 |
Abstract: This paper presents a system for the automatic classification of the audio track of a movie coded in MPEG format. Differently from the approaches proposed up to now, it employs a multi-expert classification system arranged according to a multi-stage architecture. The system is able to recognize not only four pure classes (music, speech, silence, and noise) but also confused audio signals, as the ones resulting from the overlap of pure audio components (for example, speech overlapped with music or noise, etc.). An extensive experimental analysis has been carried on a large audio database extracted from about 30 movies recorded on low quality magnetic media. Results confirm the effectiveness of the approach, with an average improvement of about 45% with respect to single classifier solutions.