足球视频中近镜头的分类方法  

Classification for Close Short Shot in Soccer Video

作　　者：赵丕锡[1] 李起点[1] 王秀坤[1] 王巍[1] 李国辉[2] 

机构地区：[1]大连理工大学电子与信息工程学院,辽宁大连116023 [2]国防科技大学信息系统与管理学院,湖南长沙410073

出　　处：《华南理工大学学报（自然科学版）》2007年第9期70-73,共4页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(60273066)

摘　　要：视频镜头类型能够弥补低级特征和高级语义之间的鸿沟,有利于精彩事件的检测.文中在现有镜头分类算法的基础上,提出了一种将足球视频中的近镜头进一步分成特写镜头和场外观众镜头的分类方法.该方法选取近镜头关键帧图像在RGB颜色空间中颜色分量最少的单色图像,并对其进行尺寸归一化,然后采用各向同性Sobel算子和闭运算处理,获得二值边缘图像,最后通过计算二值边缘图像中黑色分块的个数实现两类镜头的分类判别.实验结果表明,文中方法是有效且实用的.　Video shot type can bridge the gap between the lowlevel features and the high-level semantics and helps to detect highlights.In this paper,a new method for the classification of the close short shot in soccer video is proposed,which classifies the shot into close-up shot or out-of-field audiences＇ shot.In the proposed method,a component image with the minimal summation in all pixel values is selected from the key frame of a close short shot in RGB color space,and the size of the image is then normalized.After that,the isotropic Sobel operator and the closed operation are adopted to obtain the corresponding binarization edge image,and the classification decision is made by calculating the amount of black blocks in the binarization edge image.Experimental results finally reveal the validity and practicality of the proposed method.

关 键 词：视频信号 信号处理 分类 特写镜头 场外观众镜头 SOBEL算子 闭运算 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]