视频内容的结构化.ppt

;背景;视频的特点;结构化视频的作用;视频结构化的基本概念;视频结构化的基本概念;体育视频结构示意图;新闻结构示意图;研究点;镜头;镜头分类示例;场景;场景聚类示意图;镜头边界检测;视频镜头边缘检测定义;镜头变化分类;;The Schema of Video Shot Detection;视频镜头边缘检测方法;镜头边界检测常用算法;绝对帧差法;图像像素差法（1）;;图像像素差法（2）;图像像素差法（３）;颜色直方图法;简单的直方图差;带权重的直方图;均值化后的颜色直方图;直方图求交;直方图平方差;;压缩域差法;矩不变量法;矩不变量法;矩不变量法;矩不变量法;边界跟踪法;边界跟踪法;边界跟踪法;;运动矢量法;小结;视频镜头边缘检测方法分类; 基于阈值的镜头边界检测;概述;镜头边界检测;基于双阈值的镜头检测;; 镜头边界变化阈值的确定;像素点变化阈值;镜头切分阈值;镜头切分阈值;镜头切分阈值;The statistics model is based on following assumption: The dissimilarity feature values f(n) for a frame comes from two distributions: one for shot boundaries(S) and one for “not-a-shot-boundary”(N). In general, S has a considerably larger mean and standard deviation than N. ;镜头切分阈值;镜头切分阈值;镜头渐变阈值;基于阈值的镜头检测的问题; 基于支持向量机的镜头边界检测;;;;SBD SYSTEM BASED ON GRAPH PARTITION MODEL;SBD SYSTEM BASED ON GRAPH PARTITION MODEL;Support vector Machine;Support vector Machine;Linear Support vector Machine;Linear Support vector Machine;Linear Support vector Machine;Active sample selection;SVM with Active Learning Strategy;基于TRECVID实验;基于TRECVID实验