摘要
提出了一种基于关键帧融合的视频片段检索方法。使用特征联合分布直方图将视频分割为子镜头,子镜头用关键帧表示。检索时,对范例视频片段的每个关键帧检索到相似的关键帧,所有的相似关键帧按照时间连续性融合为视频片段。提出一种快速的视频片段相似度计算模型。实验表明,本文的方法快速有效。
A keyframe merging-based video clip retrieval method was presented. Videos were segmented to sub-shots by features joint distribution histogram and the sub-shots were represented by keyframes.Finding the similar keyframes to any keyframes of an example video clip when retrieving,and all the similar keyframes were merged into clips.An efficient similarity model of video clips was put forward. The experimental results show that the proposed method is efficient.
出处
《计算机应用》
CSCD
北大核心
2005年第8期1783-1785,1788,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60435010
90104021)
中国科学院重大方向性项目(20200120024010)
关键词
视频片段检索
关键帧序列
联合分布直方图
相似度计算
<Keyword>video clip retrieval
keyframe sequence
joint distribution histogram
similarity measure