Multi-modal feature integration for story boundary detection in broadcast news

Abstract

This paper investigates how to integrate multi-modal features for story boundary detection in broadcast news. The detection problem is formulated as a classification task, i.e., classifying each candidate into boundary/non-boundary based on a set of features. We use a diverse collection of features from text, audio and video modalities: lexical features… (More)
DOI: 10.1109/ISCSLP.2010.5684854