An algorithm for video sequence analysis and image segmentation by using 3d scene model is presented.
提出一种利用三维场景模型对视频图像进行分析并实现图像分割的方法。
Segmenting the motion human body in real-time is the first key step in the field of the analysis of human motion in the video sequence.
在视频序列的人体运动分析中，实时提取出运动人体轮廓，是很多研究起始的关键步骤。
In this paper, a content-based audio data analysis system is proposed, which accepts video sequence and implements scene detection and segmentation from audio part.
该文提出了一个基于内容的音频分析系统，对视频序列实现基于音频分析的场景检测和分割。
In the field of the analysis of human motion in the video sequence, segmenting the motion human body in real-time is the first key step.
在视频序列的人体运动分析中，实时分割出运动的人体，是研究的起始关键步骤。
And then, the characteristic of video data and the model structure of video analysis are presented. It is explained how to get the seriate image frame sequence from the video.
其次，分析了视频数据的特点和视频数据处理的层次化结构，并介绍了将视频转化为连续图像帧序列的方法。
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval.
将视频切分为镜头是视频内容分析及基于内容的视频检索和浏览的第一步。
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval.
将视频切分为镜头是视频内容分析及基于内容的视频检索和浏览的第一步。
应用推荐