摘要
新闻视频中故事单元的相似度计算对于视频浏览、检索和跟踪故事单元等应用具有特别重要的意义。研究提出了一种利用"场景词汇"计算故事单元相似度的方法,将单独的关键帧作为一个完整"词汇",将每个故事单元看作是一系列"场景词汇"描述的"文档"。在此基础上研究了"场景词汇"的特殊性,并设计了有效的"场景词汇"权重计算方法和故事单元相似度计算方法。实验显示,基于"场景词汇"的故事单元相似度计算方法能够比较好地贴近用户感官和实际应用需求。
Analyzing similarity of news video stories is crucial for searching, retrieving, browsing and tracking news video stories. A method based on "scene words" is proposed for measuring the similarity of news stories. Each key frame is seen as a "word" and a news story is seen as a document which is represented by a sequence of "scene words". In light of ttfis, the particularity of "scene words" is that the method based on "scene words" is closer to the sensory and requirement of users.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2009年第6期121-125,共5页
Journal of National University of Defense Technology
基金
国家863计划资助项目(2009AA01Z335)
国家科技支撑计划资助项目(2007BAH14B01)