The media monitoring activity is undergoing a large expansion as a consequence of the different emerging media sources. This is pushing the development of automatic systems for selective dissemination of multimedia information. In this paper we present the development of a prototype system able to scan multimedia data, specifically TV broadcasts, and to generate alert messages to users about the relevant information to them. The system makes use of advanced processing technologies for content-based indexing of multimedia information. We use large vocabulary speech recognition system, associated with audio segmentation, and automatic topic indexing and segmentation, to generate category information as semantic markup of multimedia data. The system service is based on a web interface design offering new views of these marked documents and providing useful end-user services based on the content multimedia exploitation.
Cite as: Neto, J.P., Meinedo, H., Amaral, R., Trancoso, I. (2003) A system for selective dissemination of multimedia information resulting from the ALERT project. Proc. ISCA Workshop on Multilingual Spoken Document Retrieval (MSDR 2003), 25-30
@inproceedings{neto03_msdr,
author={João P. Neto and Hugo Meinedo and Rui Amaral and Isabel Trancoso},
title={{A system for selective dissemination of multimedia information resulting from the ALERT project}},
year=2003,
booktitle={Proc. ISCA Workshop on Multilingual Spoken Document Retrieval (MSDR 2003)},
pages={25--30}
}