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 performance of video object segmentation algorithm has the direct effect on quality of MPEG-4 products.
将视频图像的方向信息测度、颜色和运动信息相结合的视频对象分割算法可以解决这一问题。
A new approach to extract video objects from video sequence by combining of orientation information measure, color and motion information is presented.
文章介绍了基于内容的时域及空域视频分割技术，提出了一种基于多帧差异的视频对象分割算法。
This paper introduces video segmentation of temporal segmentation and spatial segmentation, presents a video object segmentation algorithm based on multi-frames difference.
为了实现较完整的视频对象分割，提出了一种基于视频图像边缘信息和最小错误率的贝叶斯决策理论的视频对象分割算法。
To realize video object segment, we proposed one algorithm base on Bayes decision-making theory with least risk and video sequence edge information.
实验结果表明，本文提出的算法能精确、鲁棒地分割出视频对象。
Experimental results show that the algorithm can accurately and robustly segment the video object.
为此提出了一种基于形态学算子的视频运动对象自动分割算法。
For the first step, a morphology operator-based video motion object segmentation algorithm is proposed.
提出了一种基于动态背景构造的视频运动对象自动分割算法。
In this paper, an automatic segmentation algorithm for moving objects in video sequences based on dynamic background construction is proposed.
实验结果证明本算法能比较准确地分割出运动视频对象。
The experimental results show that the proposed algorithm can precisely segment the motion video object.
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.
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.
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.
该文讨论面向对象编码的视频分割算法。
This paper deals with automatic object segmentation method for object-oriented video encoding.
视频运动对象的自动分割是实现新一代对象基视频编码标准MPEG - 4的重要技术，本文提出了一种基于帧内图像分区的运动对象自动分割算法。
Automatic segmentation of moving objects in video sequences is a significant technology for implementing emerging object-based video coding standard MPEG-4.
通过对体育比赛视频中的场地信息和运动信息的分析，提出了一种有效分割场地和运动员等对象的算法，并对此算法性能进行了讨论。
It proposes an efficient method to segment objects such as athletes and field in sport video by analyzing the information of visual and motion features.
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。
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.
提出一种视频的压缩域与像素域特征结合的运动对象分割算法。
An effective algorithm is proposed to segment moving object in compressed domain and pixel domain method combined.
目前大部分压缩域视频对象的分割方法主要面向MPEG系列视频标准，且算法建模复杂。
Most of the current moving object segmentation algorithms in compressed domain were focused on the MPEGx video standards which were complexity intensive due to the use of complex mathematical models.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
提出一种结合尺度不变特征变换(SIFT)特征点校正和时空域视频对象分割的视频对象水印算法。
A video object watermark algorithm using Scale-Invariant feature Transform (SIFT) features and video segmentation based on spatiotemporal information is proposed.
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