Video object extraction has been a most discussed topic in the field of modern information processing.
视频对象提取是现代信息科学领域的一个研究热点。
For the problem of video object segmentation, a new approach was presented to video object extraction and tracking.
针对视频对象的分割问题，提出了一种新的视频对象提取与跟踪方法。
Experimental results on typical test sequences demonstrate that the proposed approach can achieve pixel-level accuracy for com-pressed-domain video object extraction.
典型视频测试序列的实验结果表明，本方法可取得接近于像素级的分割精度。
The segmentation of video is the basis of the video object extraction, processing and recognition. It is also the premise of the content-based video compression and retrieving.
视频序列分割是实现视频对象提取、处理和识别的基础，也是基于内容的视频压缩和检索的前提。
On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.
在对现有视频运动分析方法进行分析比较的基础上，提出了一种基于视频中运动对象的运动特征提取方法。
An automatic and accurate moving object extraction algorithm is proposed to segment head-shoulder video sequence.
针对头肩视频序列，本文提出了一种头肩视频对象的自动精确提取算法。
Automatic extraction of motion region in video sequence is critical to the generation of a video object.
视频运动区域的自动提取是视频对象生成的关键。
As to automatic segmentation, these techniques often do not obtain desirable segmentation results because the mathematic model required for the extraction of a video object is difficult to define.
对视频对象自动分割来说，因为提取视频对象所需要的数学模型很难定义，这些技术通常不能获得理想的分割结果。
Segmentation and tracking of video moving object is used for guiding the extraction of video object plane from the video sequence.
为了生成视频对象面，需要对视频序列中的运动对象进行有效的分割；
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
视频运动对象分割的目标是从视频帧序列中间分割出满足一定特征的语义区域。
Segmentation of video moving object is extraction of semantic area meet certain characteristics from video sequence.
视频运动对象分割的目标是从视频帧序列中间分割出满足一定特征的语义区域。
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