计算机科学 ›› 2010, Vol. 37 ›› Issue (1): 268-270.

• 图形图像及体系结构 • 上一篇    下一篇

基于仿射传播聚类的自适应关键帧提取

许文竹,徐立鸿   

  1. (同济大学电信学院 上海200092)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国家高技术研究发展计划(863项目)(No. 2008AA10Z227)资助.

Adaptive Key-frame Extraction Based on Affinity Propagation Clustering

XU Wen-zhu,XU Li-hong   

  • Online:2018-12-01 Published:2018-12-01

摘要: 关键帧提取技术,是基于内容的视频检索的一个重要组成部分。为了能从不同类型的视频里有效地提取关键帧,提出了基于仿射传播聚类的自适应关键帧提取算法。首先通过图像的颜色特征获取视频镜头的相似性矩阵,然后通过仿射传播聚类自适应地提取视频关键帧。该算法从视频的本身信息分布出发,自适应地搜索出视频最优关键帧,且运算速度快。实验表明,该算法能有效地提取出视频最优关键帧,且算法快速稳健。

关键词: 视频检索,关键帧,视频镜头,仿射传播聚类

Abstract: Key-frame Extraction is important to content based video analysis. For extracting key frames efficiently from different video, this paper presented an efficient method for key-frame extraction in which affinity propagation clustering is applied to key-frame extraction. First get the shot comparability matrix by histogram differences, extract key frames adaptively through affinity propagation clustering. The algorithm which this paper proposed can get the key frames adaptively according to the content of video shot and fast The experiment indicates the algorithm is efficient in key-frame extraction and has enough robustness.

Key words: Video indexing,Key-frame,Video shot,Affinity propagation clustering

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