摘要
视频图像理解侧重于对视频序列进行解释,既涉及到图像的空间特性,也涉及到视频序列的时间特性,是目前计算机视觉领域的一个研究热点。回顾了视频图像理解方法的研究现状,提出视频图像理解的一般性框架,包括层次结构、涉及的技术领域和应用的系统结构,并以一个实际应用作为示例解释该框架的层次结构。
Video image understanding technology places emphasis on interpreting video sequences, including spatial and temporal features of video sequences. It is a hot spot in the field of computer vision. This paper first reviewed the current status of research on video image understanding methods, and then proposed a common framework for understanding video sequences, including the layered structure, the correlative fields and the common system structure. Finally, discussed a real application for interpreting the layered structure of this framework.
出处
《计算机应用研究》
CSCD
北大核心
2008年第7期2203-2207,共5页
Application Research of Computers
基金
国家科技部科技型中小型企业技术创新基金资助项目(02C26214400224)
广东省科技计划资助项目(2002A1020104)
关键词
视频图像理解
视频图像分割
目标识别
行为理解
场景理解
video image understanding
video image segmentation
object recognition
behavior understanding
scene understanding