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 。
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.
出处
《计算机辅助设计与图形学学报》
EI
CSCD
北大核心
2000年第12期911-916,共6页
Journal of Computer-Aided Design & Computer Graphics
基金
国家自然科学基金:(69803009)
关键词
全局特征
局部特征
信息检索
视频索引模型
semantic
key word retrieval
local and global feature based model for video retrieval
global feature
local feature
