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一种新的基于对象的足球视频镜头分类方案
引用本文:周艺华,曹元大,张龙飞. 一种新的基于对象的足球视频镜头分类方案[J]. 计算机工程与应用, 2005, 41(34): 229-232
作者姓名:周艺华  曹元大  张龙飞
作者单位:北京理工大学信息科学技术学院计算机科学工程系,北京,100081
摘    要:论文提出了一种基于对象的足球视频镜头分类方案。首先对足球视频中的场地和运动员对象进行检测和分割,然后利用识别出的场地特征、运动员数目及运动员与场地比例等特征,对足球视频中的长距镜头、中距镜头、特写及其它类型的镜头进行分类。实验表明,该分类方案取得了良好的效果。

关 键 词:镜头分类  特征提取  视频摘要
文章编号:1002-8331-(2005)34-0229-04
收稿时间:2005-02-01
修稿时间:2005-02-01

A Novel Shot Type Classification Based on Object in Soccer Video
Zhou Yihua,Cao Yuanda,Zhang Longfei. A Novel Shot Type Classification Based on Object in Soccer Video[J]. Computer Engineering and Applications, 2005, 41(34): 229-232
Authors:Zhou Yihua  Cao Yuanda  Zhang Longfei
Affiliation:Department of Computer Science,School of Information Science of Technology, Beijing Institute of Technology,Beijing 100081
Abstract:This paper presents a novel shot type classification scheme based on object in soccer video.Firstly,Field and Athlete objects are detected and segmented.And then long shot,medium shot,close-up shot and other shots are classified by the features such as field area,number of athletes and the ratio between athlete and field.Experiment shows that the scheme performs good performance.
Keywords:shot classification  feature extraction  video abstraction
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