Shot boundary detection is the basis of video analysis.
镜头边界检测是视频分析的基础。
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。
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 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。
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。
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。
This paper proposed a novel shot boundary detection method based on the gradient Angle.
本文提出一种新的基于梯度向量角的镜头边界检测方法。
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。
This thesis synopsizes and analyzes the most methods and evaluation metrics for shot boundary 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。
Video shot boundary detection is under global concern as the first step of all kinds of video processing.
视频镜头分割作为视频处理的第一步，一直受到学者的关注和重视，数十年来已提出了大量的算法。
The main topics include :1) This article proposes a improved clustering method for shot boundary detection .
文中提出了一种基于改进的聚类方法进行镜头切换检测。
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。
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。
This paper proposes a novel shot boundary detection and key-frame extraction algorithm, and a anchor person detection technique as well.
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。
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。
Experimental results show that shot boundary detection methods, based on the shot boundary coefficient model, can improve the performance of shot boundary detection.
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。
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.
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。
Compared with the traditional double threshold based shot boundary detection method, the experimental results show that the proposed method can achieve a better detection performance.
实验结果表明，与传统的双阈值镜头检测方法相比，本方法可获得更好的检测性能。
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.
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。
Shot detection method often USES difference between frames to compute boundary detection threshold. In this paper, a quadratic difference based method for abrupt shot detection is presented.
通常的镜头检测方法都是利用帧间差来计算镜头边界的检测阈值，该文提出了一种基于二次帧差的突变镜头检测方法。
A hierarchical detection method, cutting before detection, is presented to overcome the drawbacks of the available algorithms for detecting shot boundary of gradual transition.
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.
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。
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