The segmentation of news video into story units

Authors:
Liu Huayong;Zhang Hui
Affiliations:
Department of Computer Science, Central China Normal University, Wuhan, Hubei, P.R. China;Finance Department of Business School, Wuhan University, Wuhan, Hubei, P.R. China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

The research proposes an approach of story segmentation for news video using multimodal analysis. The approach detects the topic-caption frames, and integrates them with silence clips detection, as well as shot segmentation to locate news story boundaries. On test data with 135,400 frames, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.