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1)  shot segmentation
镜头分割
1.
In this paper, an algorithm for video shot segmentation (VSSB) is proposed.
镜头分割引入压缩编码,针对分割镜头特性确定适当的编码器及参数,能够提高视频压缩编码的效率·为此,提出了一种基于对分查找的镜头分割算法(VSSB)以及关键帧频率计算公式·其算法的核心是通过对分查找形成二叉树,同时通过广度优先搜索寻找分割点,具有O(logn)的时间复杂性·针对实时应用,采用了双阈值比较的镜头分割算法,能够较好地实现镜头切变和渐变的检测·基于镜头分割算法,建立并实现了并行方式的编解码系统模型·实验证明,基于镜头分割的编码方法能够提高压缩比,缩短压缩编码时间,有利于改善重建图像质量
2.
To overcome the interference produced by illumination changing and movement during shot detection,this paper proposed a new method for shot segmentation.
同时采取有效的虚假镜头分割分析机制以减少图像快速变化的影响。
3.
In this paper,we mainly discuss semantic structure of content based video by shot segmentation and classification.
本文从镜头分割和分类分析了视频内容的语义结构。
2)  shot boundary detection
镜头分割
1.
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。
2.
CBCD schemes measure the distance between signatures extracted from the original media and a possible copy, which contains shot boundary detection, key frames detection, video signatures extraction and distance measure.
它主要包含了镜头分割、关键帧检测、视频特征提取、特征值距离测量四部分内容。
3)  shot detection
镜头分割
1.
The shot detection is the basis of video indexing in MPEG-7.
镜头分割是MPEG-7中视频检索的基本步骤。
4)  shot segmentation of video streams
视频流镜头分割
5)  video shot segmentation
视频镜头分割
6)  head segmentation
头部分割
1.
Robust head segmentation method based on level set model in complex scenes;
复杂背景下基于level set模型的头部分割算法
补充资料:Dedekind分割


Dedekind分割
Dedekind cut

  D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee,e。。e],分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B,其并为R(或Q),并使得对任何a6A和be及都有a  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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