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。
Video shot boundary detection is under global concern as the first step of all kinds of video processing.
提出了一种能够适应复杂镜头边界编辑效果的视频镜头分割算法和一种能够有效地区分镜头运动与渐变的方法。
Secondly algorithms for the detection of the video shot boundaries with complex editing and the discrimination of camera motion and gradual transition are presented.
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。
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.
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。
Video segmentation is an important technology for video structuring and retrieval, with most research work now focused on shot detection.
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。
At first, we summarize the key techniques used in the content-based video retrieval, such as shots division, video character analysis, shots clustering, etc.
本文从镜头分割和分类分析了视频内容的语义结构。
In this paper, we mainly discuss semantic structure of content based video by shot segmentation and classification.
如何识别镜头渐变是视频分割中的难点。
Identifying gradual change in video sequences is the difficult point in video shot cut detection.
基于云水印及镜头分割技术，提出了一种新颖的视频内容认证方案。
A novel video content authentication scheme, based on cloud watermark and shot segmentation, is proposed.
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。
To realize the content-based retrieval and recovery of video, video segmentation into shots and its description are necessary.
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。
Video sequences are divided into shots first, in which video objects segmentation and tracking are implemented.
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。
Partitioning a video sequence into shots or detecting shot change is one of key techniques in video indexing.
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.
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。
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.
该算法首先将视频分割为镜头，并提取镜头的关键帧。
At first, the video clips are segmented into shots and the shot key frames are extracted.
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。
Partitioning a video sequence into shots or detecting shot change is one of the key techniques in video indexing.
视频分割为镜头后，下一步的工作就是进行关键帧提取，用以描述镜头的主要内容。
Then key frame extraction will be carried out after shot segmentation to describe main content of shot.
视频分割为镜头后，下一步的工作就是进行关键帧提取，用以描述镜头的主要内容。
Then key frame extraction will be carried out after shot segmentation to describe main content of shot.
应用推荐