• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (4): 99-103.

• 论文 • 上一篇    下一篇

网球视频中慢镜头的自适应阈值探测法

张晓丽,智敏   

  1. (内蒙古师范大学计算机与信息工程学院,内蒙古 呼和浩特 010022)
  • 收稿日期:2011-11-28 修回日期:2012-03-30 出版日期:2013-04-25 发布日期:2013-04-25
  • 基金资助:

    内蒙古自然科学基金资助项目(2009BS0902)

Adaptive threshold based slow motion
replay detection method for tennis video          

ZHANG Xiaoli,ZHI Min   

  1. (College of Computer and Information Engineering,Inner Mongolia Normal University,Hohhot 010022,China)
  • Received:2011-11-28 Revised:2012-03-30 Online:2013-04-25 Published:2013-04-25

摘要:

体育视频中的慢镜头是体育视频最重要的语义内容之一,对网球视频中基于徽标转换的慢镜头进行了探测,首先从视频流中探测出候选徽标镜头;其次生成徽标模板;然后在候选徽标镜头内将视频帧同模板进行相似度匹配,根据匹配结果自适应确定阈值的大小,并初步定位慢镜头的边界;最后利用徽标转换过程中亮度的变化来精确定位慢镜头的边界。实验表明,相对于已有慢镜头探测方法,该方法具有较高的查准率和边界定位准确率,针对存在徽标转换的体育视频具有通用性。

关键词: 网球视频, 慢镜头, 徽标, 自适应阈值

Abstract:

Slow motion is one of the most important semantic contents in sports video. This paper studied the logo transition based slow motion replay detection of tennis video. Firstly, the candidate logo shots from the video streaming are detected. Secondly, the logo template is generated. Thirdly, the similarity matching between video frames and logo template in the candidate logo shots is done, and, according to the matching results, the size of the adaptive threshold is determined and the boundaries of slow motion is located roughly. Finally, the brightness changes during the logo transition process are used to accurately locate the boundaries of slowmotion. Experiments results show that,unlike previous approaches, this method has great improvement in both precision rate and positioning accuracy of the boundaries,and can be used for other sports videos which also have logo transition.

Key words: tennis video;slow motion;logo;adaptive threshold