节点文献
基于全局与局部特征的视频索引模型
Indexing Video Using Global and Local Features
【摘要】 视频是在网络上需求日益增多的多媒体信息 ,由于视频量的巨大以及结构的线形性 ,因而越来越多的引起研究者的重视 .其相应的检索方式与针对文本信息采用的关键字检索有很大不同 .文中将视频的特征分成局部和全局两种 ,并系统阐述了如何提取视频局部和全局特征 ,建立基于局部和全局特征的视频检索模型
【Abstract】 Video is the multimedia information needed more on Internet. For its massive volume and linear structure, video has received more and more emphasis by researchers. The corresponding retrieval method is different from traditional key word retrieval for text information. This paper divides the video features into two types—local feature and global feature, and systematically expatiates how to extract local and global features from video and how to establish local and global feature based model for video retrieval.
【关键词】 语义;
关键字检索;
基于局部和全局特征的视频检索模型;
全局特征;
局部特征;
【Key words】 semantic; key word retrieval; local and global feature based model for video retrieval; global feature; local feature?;
【Key words】 semantic; key word retrieval; local and global feature based model for video retrieval; global feature; local feature?;
【基金】 国家自然科学基金!(6 980 30 0 9)
- 【文献出处】 计算机辅助设计与图形学学报 ,Journal of Computer Aided Design & Computer Graphics , 编辑部邮箱 ,2000年12期
- 【被引频次】13
- 【下载频次】213