国防科技大学学报2011，Vol.35Issue(5)：91-96,6.
基于故事的新闻视频事件专题分析方法
News Video Event Topic Analysis Based on Stories
摘要
Abstract
News videos contain huge amount of daily information, in which there is a great deal of redundancy and repetition content. Thus it is necessary to analyze news stories' relationships and generate news topic effectively. This research proposes an approach for generating news video event topic based on stories. K-means cluster algorithm was used to group topic-evolving stories integrating textual and visual features. Based on the similarity and dependency between stories, an event topic was constructed automatically for the news video topic organization and threading. Finally, the generated event topic structure was visualized in event-time space. Experimental results show that the topic structure generated by the proposed approach can facilitate the fast navigation and understanding of the news topic.关键词
新闻视频/事件专题/故事聚类/相似关键帧Key words
news video/ event topic/ story clustering/ near-duplicate keyframe分类
数理科学引用本文复制引用
刘海涛,老松杨,白亮,刘振亚..基于故事的新闻视频事件专题分析方法[J].国防科技大学学报,2011,35(5):91-96,6.基金项目
国家自然科学青年基金项目(60902094) （60902094）
