计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (21): 165-167.

• 数据库与信息处理 • 上一篇    下一篇

优化初始聚类中心的关键帧提取

印 勇,蒋海娜   

  1. 重庆大学 通信工程学院,重庆 400044
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-21 发布日期:2007-07-21
  • 通讯作者: 印 勇

Key frame extraction based on clustering of optimizing initial centers

YIN Yong,JIANG Hai-na   

  1. College of Communication Engineering,Chongqing University,Chongqing 400044,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-21 Published:2007-07-21
  • Contact: YIN Yong

摘要: 针对k均值聚类提取关键帧存在的不足,提出了优化初始聚类中心的关键帧提取算法。该算法的初始聚类中心由视频数据本身的分布来决定,增强了结果的稳定性;聚类数k不再唯一地决定于给定值,而是根据视频内容自适应获得最佳取值。实验表明该算法有良好的自适应性,获得的关键帧能有效地代表视频内容。

关键词: 关键帧, 聚类, k均值, 自适应

Abstract: To make up the deficiency of key frames extraction based on k-means clustering,an algorithm based on clustering of optimizing initial centers is presented.The initial clustering centers are determined by the distributing of video data and the stability of results can be strengthened.The number of clustering k is not determined only by given value,but chose the suitable one adaptively based on video content.Experimental results show that the approach has better adaptability and the key frames are able to represent the visual content more effectively.

Key words: key frame, clustering, k-means, adaptive