For creating video database, segmentation of video scene has been an important problem hard to solve.
在视频数据库研究领域，视频场景的分割是一个重要而又难以解决的问题。
The video scene cutting and the key frame abstraction are the two key technologies in the video abstraction.
视频场景切分和关键帧提取是视频摘要技术的两个关键内容。
A photographer recorded the scene on video for posterity.
一位摄影师为子孙后代摄下了这个场面。
The video is striking: The operation is familiar, but the scene looks like the end of the world.
视频很令人震撼：拍摄手法很眼熟，但场景看起来像是世界末日。
There are different kinds of crime-related files, such as mugshots, crime scene photos, video, and so on.
有不同的文件类型，如嫌疑犯照片、犯罪现场的照片、录像，等等。
A video of an apparently wounded Gadhafi, taken by people at the scene, was posted on the Internet.
视频显示卡扎菲显然受伤，在现场被人们带走，已传到网络。
Khrushchev (indicating cameras recording the scene on video tape) : "Then what about this tape?"
赫鲁晓夫(指着记录现场谈话的摄影机)：“那这盘录影带呢？”
It records a scene in real time using 360-degree photography and immersive video - allowing for recording of every direction at the same time.
运用360度摄影技术和身临其境的视频实时拍摄场景，可同时对每个方向进行记录。
A video camera takes a picture of a scene. It does this at a frame rate of 30 frames per second.
摄像机每秒钟拍摄30张(帧)图片。
In a video before treatment, he stumbles through a simulated night street scene, bumping into walls several times in 77 seconds.
从他做治疗前的一个视频里，我们看到他跌跌撞撞地穿过一个模拟夜晚的街道，在77秒内撞了无数次墙。
Pictures and video taken at the scene show workers making and packaging the products in dirty sheds using homemade equipment like plastic drums and garden hoses.
现场拍摄的图片和视频显示，工人们正在一些简易肮脏的棚子里用一些类似塑料桶和软管之类的家用设备来制作和包装这些假冒产品。
For video sequences, we introduce such techniques as shot detection, representation of shot content, semantic scene description.
对于视频序列，则介绍了镜头检测、镜头内容表示、场景的语义描述等技术。
Below you will find video screen shots, scene images, and some of the main topics covered in each part of the training.
下面你会发现电视屏幕拍摄，现场的图像和一些每个培训的一部分所涉及的主要议题。
A scheme on shot content analysis for two video retrieval applications, shot retrieval and scene structure extraction is presented.
提出了一种镜头内容分析方法及其在视频检索中的两个应用：镜头检索与场景结构提取。
This paper introduced algorithms for video segmentation and scene clustering.
本文介绍了实现视频分割和场景聚类的算法。
A hierarchical semantic associative video model was proposed which described video information in hierarchical concept tree, scene network and semantic object net.
提出一种视频的分层语义联想模型，构造三个层次的信息：概念层次树，场景网络和语义对象网络。
This is a very simple tutorial demonstrating how to take 2d video footage and composite a 3d animated object in the scene.
这是一个关于如何在2d视频脚本中混入3d动画物体的简单教程。
Simulation result shows that the buffer control strategy can not only predict the video coder's output correctly, but also adapt the scene changes in video, get similar decoded image quality.
模拟结果表明，此项缓存控制技术不仅能准确预测编码码率，而且能自适应视频的场景变化，使解码图像质量比较均匀。
Based on analyzing H. 263 recommendation, a new scene adaptive video coding scheme which used two layer filter mechanism was proposed.
基于H。 263视频编码标准，提出了一种新的采用二级筛选机制的场景自适应编码方案。
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。
Because scenes have much difference in appearance, we adopt unsupervised scene clustering for its universality, which groups video shots with similar visual content into same cluster.
对于视频来说，由于存在较大的场景差异，因此采用无监督的场景聚类，达到通用性的目的。
Proposed algorithm avoid transmission delay and encoder buffer overflow caused by scene change, and improve the video quality of new scene effectively.
该算法避免了场景切换可能引发的编码器缓冲区溢出和传输延时，有效提升了新场景的视频质量。
The purpose of this paper is to explore the oral English scene simulation scheme design based on video real-time interactive mode and the significance and difficulties of promoting the scheme.
本文旨在探讨基于视频实时交互模式下的英语口语情景模拟方案设计以及方案推广的意义及难点。
The final scene in the tribute video showed Paul on a racetrack leaning against a blue sports car with In Loving Memory written above.
致敬短片的最后一个场景，是保罗·沃克独自站在跑道上，身体斜倚着一辆蓝色的跑车，背景上写着的文字是：“爱的回忆”。
Scene change often occurs in practical video, and it has important impact on the quality of video.
场景切换在实际视频中频繁出现，对视频质量有着重要的影响。
Scene change detection is one of fundamental processes in video analysis and content based video retrieval.
场景分割技术是动态视频分析和基于内容的视频检索的基础。
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。
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。
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