Chapter Two: Boundary Detection for Discrete Surfaces.
第二章：离散曲面的边界检测。
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。
Chapter Three: a Boundary Detection Algorithm Based on Regular Space Subdivision.
第三章：基于空间正规分割的边界检测算法。
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。
In this chapter the problem and recent developments about boundary detection for surfaces in discrete forms is summarized.
介绍离散形式下的曲面边界检测问题及研究进展。
The paper studies the method of boundary detection in omnidirectional M-mode echocardiography based on a sub-pixel technique.
研究一种基于亚象素技术的全方向M型心动图边界的检测方法。
For natural images of complex texture, a supervised boundary detection method using the multi-information fusion was proposed.
针对自然图像纹理复杂的特点，提出了一种多种信息融合的有监督边界检测方法。
For example, a language specific segmentation must be done before the sentence boundary detection for this language can be started.
例如，“句子范围检测”必须先于“特定于语言的部分”。
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。
The detector consists of abrupt boundary detection based on fuzzy logic theory and gradual boundary detection based on non-adjacent frame threshold method.
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。
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。
Shallow English language parsing customized for novelty detection includes sentence boundary detection, tokenization, part-of-speech tagging, and morphological analysis.
针对新信息检测的英文浅层语言分析主要包括断句、词汇切分、词性标注以及词形还原等自然语言处理过程。
Common methods of image segmentation can be summarized as follow: methods based on boundary detection and edge linking, methods based on region, methods based on special theory.
常见的图像分割方法归纳为基于边界检测和边缘连接的方法、基于区域的分割方法和结合特定理论工具的分割方法三大类。
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。
Fracture detection is similar with boundary detection in image analysis. Therefore, using boundary detection theory and real seismic data can form effective fracture detection way.
裂缝检测与图像分析中的边缘检测有许多相似之处，因此，能够借助某些边缘检测理论并结合实际地震资料形成有效的裂缝检测方法。
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。
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