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。
Key techniques for the realization of content-based video retrieval in digital library include video data modeling, video segmentation, video indexing, and video searching and browsing.
实现数字图书馆中基于内容的视频检索的关键技术包括：视频数据建模、视频分割、视频索引、视频查询与浏览。
In addition, for the special case of stationary background, this paper introduces an idea of video segmentation through background estimating and proposes an adaptive method for background estimating.
此外，针对背景静止的特殊情况，本文介绍了一种通过背景估计进行视频分割的思路，并且提出了一种自适应的背景估计方法。
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。
This paper presents a spatiotemporal video segmentation algorithm based on the generation of motion window.
本文提出了一种基于运动窗生成的时空视频分割方法。
Proposes an algorithm to determine the true motion vectors of the feature regions for object based video coding and segmentation applications.
针对物体基视频编码与分割应用，提出了求取特征区域真实运动矢量的一种算法。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
为了实现基于内容的视频检索和恢复，必须将视频分割成不同的镜头，再对镜头进行描述。
This paper analyzes the structural features of news video and introduces a new method for scene segmentation based on events stream.
文中从分析新闻视频场景所特有的结构特征入手，提出一种基于事件流的新闻视频场景分割方法。
Video objects segmentation from video sequence is the key of implementing content-based compression coding method.
从视频序列中分割出视频对象是实现基于内容压缩编码方法的关键。
Then study in the video analysis technologies applied in target detection, include tasks and processes of moving target detection and commonly used methods of image segmentation.
主要研究了视频分析技术在目标检测中的应用，包括运动目标检测的任务和流程，以及常用的图像分割方法。
Video object segmentation is the one of the focus in the field of image and video processing.
视频对象分割是当前图像和视频处理的热点和难点之一。
Experiments show that the described algorithm can extract video objects, leading to the segmentation of VOPs.
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。
It only takes 0.1s for the algorithm to perform motion estimation for a frame of picture. It can be used in real time video segmentation system.
用这种方法对一帧图像进行一次运动估计约需0.1秒，可以用于实时的视频分割系统中。
So, the Detection and segmentation based on video has become one of the hotspots about the worldwide research and product development.
因此，基于视频序列的检测和分割技术己成为世界性的研究课题和相关产品开发的热点之一。
This paper studies the video text extraction and recognition. The main parts are the algorithm and key technology of text localization, text tracking and text segmentation.
本文研究的是视频文字的提取和识别，主要包括视频文字定位、跟踪和分割三部分算法及关键技术的研究。
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。
Video segmentation is one of the key technique of the object recognition.
视频分割是目标识别的关键技术。
Video object segmentation aims to partition an image sequence into moving objects and to track the evolution of the moving objects along the time axis.
视频对象分割，旨在分割出视频序列中的运动对象并沿时间轴跟踪运动对象的演进。
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；
In this paper, a motion segmentation approach for content based video representation specified in the standard of MPEG 4 is proposed.
提出了一种MPEG4标准所规范的基于内容表示的图像序列运动分割算法。
In the process of analyzing, applying the video data, video segmentation is the foundation of analyzing, organizing, applying the video data.
在分析应用视频数据的过程中，视频分段是分析，组织，应用视频数据的基础。
In the framework of the MPEG 4 coding system, the automatic or semiautomatic video sequence segmentation plays a key role in supporting the features of content based coding.
在MPEG -4编码系统框架中，为支持基于内容的编码性能，视频自动、半自动分割成为关键技术之一。
The performance of video object segmentation algorithm has the direct effect on quality of MPEG-4 products.
视频对象分割算法的性能好坏将直接影响MPEG-4编码产品的质量。
The video segmentation plays an important role in the application of multimedia, and has a widely future in video coding, video browsing, multi-media interacting and computer vision.
视频对象分割技术作为多媒体技术应用的一个主要方面，在视频编码、检索、多媒体交互和计算机视觉中有着极为重要的应用。
This paper proposes an algorithm of video segmentation based on spatiotemporal information for the videos with fixed scenes.
针对固定场景的视频，提出一种基于时空分割的视频分割算法。
In the prototype of digital video tracking system, a satisfactory result of the proposed scheme of image segmentation has been obtained.
文中所提出的图象分割方案，在数字电视跟踪系统样机中得到满意的效果。
In the sixth chapter, from the current marketing demand, prospect the promising future of research and application about Video Image Segmentation and Visualization for Portable and Mobile Devices.
第六章立足于当今市场需求，展望了基于手持移动设备的视频图像分割与渲染研究和应用的广阔前景。
In the sixth chapter, from the current marketing demand, prospect the promising future of research and application about Video Image Segmentation and Visualization for Portable and Mobile Devices.
第六章立足于当今市场需求，展望了基于手持移动设备的视频图像分割与渲染研究和应用的广阔前景。
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