Then a causal shot detection method is applied to news video shot detection.
最后，利用因果的镜头边界检测方法进行新闻镜头检测。
To overcome the problem in RGB color model used to deal with video shot detection, proposes a method based HSV-color space model of scene cutting in video abstraction.
针对RGB彩色空间模型下统计直方图用于切分场景时，存在对内容变化不敏感、计算量大等问题，提出了一种基于HSV空间模型的视频场景切分方法。
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。
Shot cut detection is one of the challenging problems in video auto-index and retrieval.
如何在压缩域进行镜头的切变检测一直是视频自动索引和检索中的难点。
Shot boundary detection is the first essential step in content-based video retrieval.
镜头边界检测是基于内容的视频检索首先要解决的问题。
The study on shot transition detection is an active research field in video analysis and retrieval.
镜头检测算法的研究是视频分析与检索中较为活跃的研究领域之一。
Shot boundary detection is the first step of the video content analysis.
镜头边界检测是进行视频内容分析的首要步骤。
Video segmentation is an important technology for video structuring and retrieval, with most research work now focused on shot detection.
视频分割是视频结构化和检索的重要技术，目前主要通过镜头分割得到。
Shot boundary detection is the basis of video analysis.
镜头边界检测是视频分析的基础。
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。
Shot boundary detection is an important step in video applications.
镜头边缘检测是视频处理应用的重要环节。
Shot boundary detection is the first step in video structure.
镜头切换检测是视频结构化的第一步。
Shot boundary detection is an important step in video analysis.
镜头边界检测是视频分析的重要一步。
Further it mainly aims at the segment of shot, selection of key frame, classify of audio characteristic and detection of caption-region in video and presents corresponding improved approach.
在此基础上主要就镜头分割、关键帧选取、音频特征分类以及视频中文字区域的检测和分割提出了相应改进的算法。
A novel video shot boundary detection algorithm is presented based on the feature tracking.
针对视频镜头边界检测，提出了一种基于特征跟踪的新算法。
Shot detection is the basis of content-based video retrieval.
镜头检测是基于内容的视频检索的重要基础。
Some of those proposed shot detection methods are realized and applied to content-based video retrieval system; experiments prove that they are effective.
把镜头探测算法实现应用到了基于内容视频检索系统中，做了大量的实验，取得了良好的效果。
Anchorperson shot detection is an effective way of news video structuring.
播音员镜头探测是实现新闻视频结构化分析的有效途径。
This paper present a simple shot detection method, video brightness information is used to detect abrupt shot and the combination of brightness and chroma information is used to detection.
本文提出了一种简单的镜头检测方法，该方法首先使用视频亮度信息检测突变镜头，然后使用亮度和色度信息检测渐变镜头。
The framework of video abstraction system in compressed domain is described, and main algorithms such as shot change detection, key-frame extraction and face detection are discussed.
给出了压缩域视频摘要系统的结构框架，并对其中的压缩域视频镜头变换检测、关键帧提取和压缩域人脸检测等主要算法进行了讨论。
As a fundamental unit in video analysis, automatic shot detection and classification plays a significant role.
镜头是视频的基本组成单元，其自动检测与分类是视频分析的重要任务。
For video temporal segmentation, a so-called "robustness criterion" is proposed to evaluate shot boundary detection algorithms.
论文为视频切变检测算法提出了“鲁棒性”评价准则，指出好的算法应该有较强的推广能力。
Identifying gradual change in video sequences is the difficult point in video shot cut detection.
如何识别镜头渐变是视频分割中的难点。
The basic idea is to detect the shot boundaries first for news video, and then frames containing topic caption texts are identified to get news story segmentation cues using text detection algorithm.
其基本思想是先对新闻视频进行镜头边界检测；其次，通过文字检测算法检测包含有主题字幕文本的帧来获得新闻故事分段的线索；
Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents.
然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。
Shot boundary detection is a key technology in content based video retrieval system.
镜头边界检测是基于内容视频检索中的关键技术。
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。
Shot detection is the first step in video content structured analysis.
镜头探测是视频内容结构化分析的第一步，也是非常关键的一步。
Automatic video segmentation, which is based on SBD (shot boundary detection), is one necessary step in establishing video databases.
视频自动分割是实现视频数据库检索必不可少的一个过程，其基础是镜头边界检测。
Automatic video segmentation, which is based on SBD (shot boundary detection), is one necessary step in establishing video databases.
视频自动分割是实现视频数据库检索必不可少的一个过程，其基础是镜头边界检测。
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