摘要
为解决传统新闻主持人聚类中背景变化与主持人位置大小变化影响聚类结果的问题,提出一种扩展人脸区域的主持人镜头模糊直方图聚类算法。引入扩展人脸区域(EFR)代替整个视频帧,采用模糊直方图(FCH)法对扩展人脸区域(EFR)进行聚类,与传统聚类方法比较,该方法有效地减少了背景对聚类结果的影响。采用背景变化剧烈的新闻视频为测试对象,经过实验验证此方法既有效的解决了背景变化带来的问题,又提高了查全率与准确率。
Because the traditional clustering-based approach to anchor shot detection for news video is influenced by backdrops′ movement,a method of clustering-based detection of the anchorperson shots with extra face region（EFR） and fuzzy color histogram（FCH） is proposed.Instead of video′s frame,the EFR and FCH are used to cluster anchorperson′s EFR.Compared with traditional clustering-based method,this detection for shot of anchorperson is effective.Experiments of using acute backdrops′ movement prove that the influence of backdrops′ movement and anchorperson′s location has been solved efficiently,and the precision and recall has been improved by this method.
出处
《现代电子技术》
2011年第16期78-81,84,共5页
Modern Electronics Technique
关键词
扩展人脸区域
模糊直方图
主持人镜头检测
聚类结果
extra face region
fuzzy color histogram
detection of the anchorperson shot
cluster result
