基于多模态分析的新闻视频故事分割

2009 International Joint Conference on Artificial Intelligence Pub Date : 2009-04-25 DOI:10.1109/JCAI.2009.20

Huayong Liu, Tingting He

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引用次数: 4

摘要

本研究提出了一种基于多模态分析的新闻视频故事分割方法。该方法检测主题字幕帧，并将其与沉默片段检测和镜头分割相结合，以定位新闻故事的边界。在135,400帧的测试数据上，准确率为87.9%，召回率为98.7%。实验结果表明了该方法的有效性和鲁棒性。

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Using Multimodal Analysis for Story Segmentation of News Video

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 87.9\% and the recall rate 98.7\% are obtained. The experimental results show the approach is valid and robust.

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2009 International Joint Conference on Artificial Intelligence

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