In particular, the system here presented exhibits the capacity of extracting video shots by means of a mobile camera operating at multiple zoom levels.
特别地，该系统利用一个在多个缩放级别上可操作的移动摄像机在连续视频帧中自动获取与跟踪人脸。
Video shot detection is very crucial for content-based video analysis. Considering the importance of video shots, we propose a MPEG video shot detection based on decision tree.
压缩视频镜头的分割是视频内容分析中的一个难点，由于镜头在组织和索引视频中起关键性的作用，提出了一种基于决策树的MPEG视频镜头分割算法。
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。
Be sure to watch the video below for an additional bonus trick to add a dreamy window light effect to these shots.
请观看一下的视频，另外还有额外的增加梦幻的窗户光的小技巧！
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
本文首先分析了基于内容的视频检索的关键技术。总结了镜头分割、视频流特征分析和镜头聚类方面的相关研究和算法。
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。
The video crew sent shots of cars waiting in gas lines and, separately, pictures of buses.
录相组发来小汽车排队等候加油的镜头，又另外发来公共汽车的图像。
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。
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。
Video sequences are divided into shots first, in which video objects segmentation and tracking are implemented.
视频序列首先被分成一个个的镜头，在每个镜头内对视频对象进行分割和跟踪。
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。
Several hundred people were at the park some parting after a parade and others for the filming of a music video when the shots were fired.
枪声响起时，数百人聚集在公园，参加街区聚会和拍摄音乐宣传片。
We propose a complete 3 step solution to construct video scenes based on shots, including: shot boundary detection, shot feature extraction, and shots clustering.
本文提出了一种基于镜头构造视频场景的思路，包括三个环节：镜头边界探测，镜头特征提取和镜头聚类。
Anchorperson shots were detected automatically for browsing news video with STS pattern analysis, clustering and information fusion.
通过对时空切片的模式分析，聚类和信息融合，实现了新闻主播镜头的自动检测。
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。
Video content is described by characteristics extracted on four-level framework including shots, video objects, video object planes and video object regions.
本文提出了一种基于视频对象的视频内容分级描述模型。
So, here are there! But first, some striking screen shots of the video, via Fubiz.
不过首先，先给大家看一下视频中一些引人注目的屏幕截图。
At first, the video clips are segmented into shots and the shot key frames are extracted.
该算法首先将视频分割为镜头，并提取镜头的关键帧。
The turbine models are fitted under the runner with a perspex band for visualisations, view-shots and video records.
水轮机模型在转轮的下面安装一透明玻璃段以便直接观察和闪频摄影。
The turbine models are fitted under the runner with a perspex band for visualisations, view-shots and video records.
水轮机模型在转轮的下面安装一透明玻璃段以便直接观察和闪频摄影。
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