The idea for Wax is to be very general purpose and flexible in video compositing and effects, so that you can compose your dream video sequence with ease everytime.
Wax的目标是完成视频合成和特效制作的日常任务，并且提供足够的灵活性，使你可以轻松实现自己理想中的视频效果。
Partitioning a video sequence into shots is the first step toward video-content analysis and content-based video browsing and retrieval.
将视频切分为镜头是视频内容分析及基于内容的视频检索和浏览的第一步。
Among the most famous of these is a video sequence recorded by the space shuttle Discovery (Mission STS-48), while in orbit on September 15, 1991.
在这些案例中，最著名的莫过于发现号航天飞机（任务代号：STS-48）在1991年9月15日的轨道飞行中所记录的一段视频资料。
A video sequence possesses not only spatial properties like images, such as color, edge, texture, but also temporal properties, namely, the motion information.
视频数据除了具有与图像一样的空间特性外(如颜色、边缘和纹理等)，还具有时序特性，即视频中存在运动信息。
Convert your video sequence to individual TIF files.
把你的视频序列转换为TIF文件。
So now you have a short animation and a video sequence.
现在准备好了一个小动画和视频序列。
Shot change means scene content change in a video sequence.
镜头变化是指视频序列中场景内容的变化。
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。
Intra-and inter-frame redundancy of video sequence makes video compression possible.
视频序列帧内与帧间的冗余使得视频压缩成为可能。
A dynamic adaptive filter for video sequence super resolution reconstruction is proposed.
针对视频序列的超分辨率重建，提出了一种动态自适应滤波方法。
The study of moving object based on video sequence has its positive significance in all areas.
基于视频序列的移动物体提取在各领域有着积极的研究意义。
FGS video streaming is to code a video sequence into a base layer and multiple enhancement layers.
该编码方法通常生成两种视频流：基本层码流和增强层码流。
In this paper we propose a method for making panoramas from video sequence taken by moving cameras.
提出了一种对视频序列进行全景图拼接的方法。
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。
The main contents of this paper are organized as follows: 1, Vehicle detection based on video sequence.
本文主要包括的研究工作如下：1、基于视频序列的车辆检测。
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。
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。
Partitioning a video sequence into shots or detecting shot change is one of key techniques in video indexing.
视频序列的镜头分割亦称镜头变化检测是视频检索中的关键技术之一。
In recent years, the technology on detection and tracking based on video sequence has become the focal point.
近年来，基于视频图像的车辆检测跟踪技术已成为研究的重点和热点。
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。
Partitioning a video sequence into shots or detecting shot change is one of the key techniques in video indexing.
视频序列的镜头分割亦称镜头变化检测是视频检索中的关键技术之一。
The last part of this paper concludes our work and gives an outlook of the video sequence post-processing domain.
文章的最后对课题工作进行了总结，并对视频图像后处理领域的相关技术进行了展望。
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。
This paper proposes a new encoding scheme which enables object-tracking without reconstructing the video sequence.
提出了一个能够跟踪目标而不需要重构视频序列的编码方案。
The thesis is focused on the study of algorithm for moving target recognition and tracking in video sequence images.
本论文主要研究视频序列图像中运动目标识别与跟踪的算法。
Click "Adjust sequence" button to activate the order interface, you have the flexibility to customize the video sequence.
点击“调整顺序”按钮激活排序界面，你可以灵活地自定义视频顺序。
The detection part aims to segment vehicles from the video sequence and the tracking part tracks each vehicle and counts.
基于视频的交通流量统计系统通常包含车辆检测和车辆跟踪两部分。
Noise filtering for single frame from video sequence is discussed in the preprocess step of moving vessel detection at sea.
在海面运动舰船视频的预处理中，讨论了视频序列的单帧图像的去噪问题。
Face detection is the foundation for all the face processing systems, and its applications within video sequence are more significant.
人脸检测是所有人脸处理系统的基础，而视频中人脸检测问题更具有其特殊的意义。
Face detection is the foundation for all the face processing systems, and its applications within video sequence are more significant.
人脸检测是所有人脸处理系统的基础，而视频中人脸检测问题更具有其特殊的意义。
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