This paper presents a new automatic video sequence segmentation algorithm that extracts moving objects.
提出了一种提取运动对象的新的视频序列分割算法。
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。
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。
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。
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；
This paper presents an algorithm of moving objects segmentation in video sequence.
提出了一种视频序列中运动目标的分割算法。
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。
An automatic method of the video-sequence segmentation is proposed in this paper, which can be used to segment moving objects in video sequences outdoors and indoors.
本文提出了一种自动的视频序列分割方法，适用于分割室外和室内视频序列中的运动物体。
To solve the problem in segmentation and tracking the moving object in video sequence, a novel moving object segmentation and tracking approach is proposed based on spatial-temporal dispersions.
针对视频图像中单个运动对象的分割和跟踪问题，提出了一种基于时空离散度的视频对象分割跟踪算法。
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。
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。
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