Firstly, we do video segmentation and key frame extraction.
首先，进行视频分割和提取关键帧。
This paper proposes a key frame extraction algorithm based on Rough Set(RS) in compressed domain.
提出一种基于粗糙集（RS）的压缩域关键帧提取算法。
Experimental results demonstrate that the method can better distill the key frame in the video order.
实验表明，该方法能较好的提取出视频序列的关键帧。
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。
The study and design of a key frame extraction system based on shot attribute is described in this paper.
研究并设计了一种基于镜头属性的关键帧提取系统。
During key frame extraction, the concept of image entropy is used after shot being segmented into sub-shots.
在关键帧提取阶段，将镜头分割为子镜头后，引入图像熵的概念提取关键帧。
The video scene cutting and the key frame abstraction are the two key technologies in the video abstraction.
视频场景切分和关键帧提取是视频摘要技术的两个关键内容。
A new key frame extraction algorithm based on evolutionary artificial immune network is proposed in this paper.
本文在分析现有关键帧提取算法的基础上提出了基于进化免疫网络的关键帧提取方法。
Secondly, it extracts a key frame from the video image sequence and makes a license plate location on the frame.
其次，提取视频图像序列中的关键帧，对关键帧图像进行车牌的定位处理。
Conventional virtual biology behavior cartoon has some shortages for it is realized through key frame technology.
传统的虚拟生物行为动画是通过关键帧技术实现的，存在一些不足。
This paper researches method of key frame editing and interpolation for human animation motion detail enhancement.
本文研究增强人体关节动画中运动细节描述的关键帧调整和插值方法。
Furthermore, it expounds how to design the control of play speed, the analysis of key frame and the motion of the cue.
并实现了播放速度控制、关键帧分析、挥杆分析等的设计。
The key frames are detected using the motion features, color features and texture features of skin in key frame images.
关键帧图象皮肤检测方法从皮肤的运动特征、颜色特征和纹理特征三个方面进行综合考量。
In the field of video summary and video information retrieval, the problem of key frame extraction is of great importance.
在视频摘要和视频检索领域，研究关键帧提取的问题是非常重要的一环。
In order to make animation having more detail information, researchers advance many kinds of key frame extraction program.
因此，为了通过较少的数据存储获得更多的运动细节信息，人们提出了多种关键帧提取方案。
The experimental results show that the key frame extraction algorithm for different types of video is more representative.
实验结果表明，采用该算法对不同类型的视频提取出的关键帧具有较好的代表性。
Key frame can dramatically reduce the data of the video indexing, and provide a framework for video abstraction and retrieval.
关键帧的使用减少了视频索引的数据量，同时也为视频和检索提供了一个组织框架。
Key frame can dramatically reduce the data of the video indexing, and provides a framework for video abstraction and retrieval.
关键帧的使用大大减少了视频索引的数据量，同时也为视频摘要和检索提供了一个组织框架。
This paper mainly discusses these Algorithms and video characters, furthermore, we introduce the advances on key frame extract.
该文主要对这些算法以及视频特征进行讨论，并进一步介绍了关键帧抽取方面的相关新的进展。
Its main features include category based news story browsing, key frame based video abstract and keyword based news story querying.
它的主要特征包括：基于类别的新闻故事浏览，基于关键帧的视频摘要和基于关键词的新闻故事查询。
So now we can scale the animation - ignore key frame 0, this should be close to zero, if not use the difference to scale the Angle.
因此现在我们能够按比例修改动画——忽略关键桢0，如果不使用差额按比例修改角度，这应该接近0。
A cluster algorithm of automatic key frame extraction based on adaptive threshold is employed and mended for extracting shot's key frames.
在镜头关键帧提取时实现并改进了基于自适应阈值的自动提取关键帧的聚类算法。
The key frame significantly reduce the use of the video index data, as well as video search and summary provides a framework for the organization.
关键帧的使用大大减少了视频索引的数据量，同时也为视频摘要和检索提供了一个组织框架。
The usage of the key frame not only reduce the data of the video consumedly but also provide an organization frame for video browse, search and retrieval ability.
关键帧的使用大大减少了视频索引的数据量同时也为视频检索和浏览提供了一个组织框架。
Key frame animation is a kind of computer animation method. This method calculates frames between two key frames automatically according to kinematics and kinetics.
关键帧动画是利用计算机的运算能力，按照运动学和动力学的规律计算生成两个关键动作之间的运动动作序列的动画方法。
This method first extracted the global motion and local motion features in each frame, and video key frame was extracted by Particle Swarm Optimization (PSO) adaptively.
该方法首先提取出视频中每帧的全局运动和局部运动特征，然后通过粒子群算法自适应地提取视频关键帧。
The coding module compresses and codes the video data under the control of the output signal of the key frame discriminant module and the important regional identification module.
在关键帧判别模块和重要区域识别模块的输出信号控制下，编码模块对视频数据进行压缩编码。
This paper briefly discusses the existing approaches. To overcome the shortcomings of the existing approaches, it presents a new approach for key frame extraction based on clustering.
该文简单介绍了目前的关键帧提取技术，提出了一种基于聚类利用颜色直方图提取关键帧的方法来克服其它方法的不足。
An algorithm for selecting episode representation frames by using an approach of key frame extraction based on multiple characters and C-Mean fuzzy clustering is detailed in the paper.
该文在子镜头的关键帧提取方法基础上，利用模糊c -均值聚类算法，实现了一种基于子镜头聚类的情节代表帧选取方法。
In this paper, at first briefly discuss the existing approaches, and then present a motion feature based key frame extracting method using fuzzy reasoning theory for MPEG compressed video.
首先介绍了目前的关键帧提取技术，然后提出了一种基于运动特征利用模糊推理算法从MPEG视频流中提取关键帧的方法。
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