提出了一种基于边缘块分割的视频对象提取算法。
The highlights and the new method proposed:1 . An automatic video object generation method with boundary block segmentation has been proposed.
视频对象提取是现代信息科学领域的一个研究热点。
Video object extraction has been a most discussed topic in the field of modern information processing.
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。
For the problem of video object segmentation, a new approach was presented to video object extraction and tracking.
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。
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.
该算法可以自动提取动态背景、静态背景，也可以在视频序列中出现背景和对象都停止变化时实现视频对象的提取。
The algorithm can process video sequence automatically with moving background, static background or the video sequence that both object and background are all static.
提出了一种提取运动对象的新的视频序列分割算法。
This paper presents a new automatic video sequence segmentation algorithm that extracts moving objects.
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。
On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.
实验结果表明，该算法可有效地提取视频对象和分割视频对象平面。
Experiments show that the described algorithm can extract video objects, leading to the segmentation of VOPs.
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。
An automatic and accurate moving object extraction algorithm is proposed to segment head-shoulder video sequence.
最后，视频对象的准确边界的提取综合运动口罩和地区分割多分辨率的分水岭。
Finally, the video object with accurate boundaries is extracted by integrated the motion mask and regions segmented by multi-resolution watershed.
最后，利用边界图像模型从序列中提取出视频对象平面（VOP） 。
Finally, the VOPs are extracted from the edge image model sequence.
实验结果证明，该方法能够从背景变化的视频序列中较好地提取运动对象，具有较强的鲁棒性。
Experimental results demonstrate that this method can effectively extract moving objects from video sequences with changing background and hass...
视频对象的提取是任何基于视频对象的操作如索引、访问等的最基本的步骤。
Visual objects (VOs) abstraction is the basic step for all kinds of operation, such as index, accessing, which are based on VOs.
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。
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.
视频运动区域的自动提取是视频对象生成的关键。
Automatic extraction of motion region in video sequence is critical to the generation of a video object.
提出一种基于原型的可变形模板进行图像分割的算法，从而可以将感兴趣的视频对象从静止的复杂背景中提取出来。
This paper proposes an image segmentation algorithm using deformable template to segment an interesting visual object from the stationary complex background.
实验结果表明，该方法可有效地从H264压缩视频中提取运动对象且分割质量较好。
Experimental results demonstrate that our approach can efficiently extract the moving objects from H264 compressed and as the segmentation quality is good.
最后，采用启发式搜索方法连接视频对象轮廓边缘点，进而提取出视频对象。
Finally, we applied heuristic search method to link video object contour's edge points, sequentially extracted video object.
提取视频对象是基于内容的视频，如MPEG - 4编码的关键技术之一。
Extracting the video object is a key technology in content-based video coding such as MPEG-4.
提取视频对象是基于内容的视频，如MPEG - 4编码的关键技术之一。
Extracting the video object is a key technology in content-based video coding such as MPEG-4.
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