Content-based story segmentation of news video by multimodal analysis

Authors:
Liu Hua-Yong;He Tingting
Affiliations:
Department of Computer Science, Central China Normal University, Wuhan, Hubei, PR China;Department of Computer Science, Central China Normal University, Wuhan, Hubei, PR China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
Year:
2009

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Abstract

This paper proposes a method of story segmentation for news video using multimodal analysis. The method detects the topic-caption frames, integrates them with silence clips detection, shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 87.9% and the recall rate 98.7% are obtained. The experimental results show the method is promising and robust.