镜头边界检测是视频分析的基础。
镜头边界检测是视频分析的重要一步。
Shot boundary detection is an important step in video analysis.
镜头边界检测是进行视频内容分析的首要步骤。
Shot boundary detection is the first step of the video content analysis.
镜头边界检测是基于内容视频检索中的关键技术。
Shot boundary detection is a key technology in content based video retrieval system.
因此，有必要对镜头边界检测的规则进行特征约简。
Therefore, it is necessary to perform feature reduction for the decision rules of shot boundary.
镜头边界检测是基于内容的视频检索首先要解决的问题。
Shot boundary detection is the first essential step in content-based video retrieval.
本文提出一种新的基于梯度向量角的镜头边界检测方法。
This paper proposed a novel shot boundary detection method based on the gradient Angle.
最后，利用因果的镜头边界检测方法进行新闻镜头检测。
Then a causal shot detection method is applied to news video shot detection.
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。
A novel video shot boundary detection algorithm is presented based on the feature tracking.
本文主要研究了基于内容的视频检索中的关键技术——镜头边界检测。
The major research of this paper is the key technologies of content-based video retrieval-the shot boundaries detection.
总结了视频镜头边界检测中的方法和评价准则，并对各种方法进行比较。
This thesis synopsizes and analyzes the most methods and evaluation metrics for shot boundary detection.
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.
实验结果表明，基于镜头边界系数模型的镜头边界检测方法能明显改善镜头边界检测结果。
Experimental results show that shot boundary detection methods, based on the shot boundary coefficient model, can improve the performance of shot boundary detection.
将因果检测法与双阈值法相结合，提出了一种基于因果的自适应双阈值镜头边界检测算法。
Combined the cause and effect method with the double threshold method, an adaptive double threshold shot boundary detection method based on the cause and effect method is proposed.
针对现有渐变镜头边界检测算法的不足，提出了一种先切分后检测的分层镜头边界检测方法。
A hierarchical detection method, cutting before detection, is presented to overcome the drawbacks of the available algorithms for detecting shot boundary of gradual transition.
该视频镜头边界检测系统主要包括三个部分——图像预处理、图像特征提取、镜头边界检测及关键帧提取。
This system mainly include three parts-image pre-processing, extracting image features, shot boundaries detection and key-frame extraction.
本文提出了一种新的通用镜头边界检测及关键帧提取算法，以及针对新闻中固定不变的一类镜头——口播镜头的识别算法。
This paper proposes a novel shot boundary detection and key-frame extraction algorithm, and a anchor person detection technique as well.
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；
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.
借鉴心理学中有关视觉注意的研究成果，提出了一种采用符合人类视觉注意的特征，并利用支持矢量机进行视频镜头边界检测的算法。
This paper proposes an algorithm of shot boundary detection, which employs Support Vector Machine (SVM) to classify visual attention features based on the research results of psychology.
降出了一个长检测器协同工做的镜头边界检测框架，包括当用模糊逻辑实际设计切变边界检测和基于非邻帧好的单阈值突变边界检测。
The detector consists of abrupt boundary detection based on fuzzy logic theory and gradual boundary detection based on non-adjacent frame threshold method.
实验表明，基于镜头的场景边界检测性能优于基于多特征的镜头聚类分析。
Our experimental results demonstrate the performance of scene change detection based on shot is better than that of shot clustering based on multi-features.
实验表明，基于镜头的场景边界检测性能优于基于多特征的镜头聚类分析。
Our experimental results demonstrate the performance of scene change detection based on shot is better than that of shot clustering based on multi-features.
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