Broadcast news story segmentation using conditional random fields and multimodal features

• Main Authors: Wang, Xiaoxuan, Xie, Lei, Lu, Mimi, Ma, Bin, Chng, Eng Siong, Li, Haizhou
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/105431; http://hdl.handle.net/10220/16587
• Institution: Nanyang Technological University

In this paper, we propose integration of multimodal features using conditional random fields (CRFs) for the segmentation of broadcast news stories. We study story boundary cues from lexical, audio and video modalities, where lexical features consist of lexical similarity, chain strength and overall...