计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (15): 159-163.

• 图形、图像、模式识别 • 上一篇    下一篇

基于事务序列的视频摘要挖掘方法研究

赵丕锡1,李宏岩1,徐国凯2   

  1. 1.大连民族学院 计算机科学与工程学院,辽宁 大连 116600
    2.大连民族学院 机电信息工程学院,辽宁 大连 116600
  • 出版日期:2012-05-21 发布日期:2012-05-30

Research on method of video summarization mining based on transaction sequence

ZHAO Pixi1, LI Hongyan1, XU Guokai2   

  1. 1.School of Computer Science & Engineering, Dalian Nationalities University, Dalian, Liaoning 116600, China
    2.School of Electromechanical & Information Engineering, Dalian Nationalities University, Dalian, Liaoning 116600, China
  • Online:2012-05-21 Published:2012-05-30

摘要: 提出了一种基于事务序列的关联挖掘方法实现对足球视频的摘要挖掘。处理过程分为视频数据预处理、视频属性提取和视频摘要挖掘等三个步骤。视频数据预处理阶段将原始视频流切分成物理镜头。视频属性提取阶段先将物理镜头分成五种类型,将视频转换成镜头标识序列,以事务为单位对标识序列进行切分形成事务序列,构造一种关系数据库来存储这些事物序列数据。在视频摘要挖掘阶段,采用传统的Apriori算法对事务数据库进行关联挖掘获得关联模式,以挖掘出的关联模式为依据形成视频摘要。实验结果表明,挖掘精彩事件的查全率和查准率较高,具有实用价值。

关键词: 镜头分类, 事务序列, 事务数据库, 视频关联挖掘, 精彩事件

Abstract: Based on transaction sequence, an association mining method is proposed for soccer video summarization mining. The processing progress is divided into three steps which are video data preprocessing, video feature extraction and video summarization mining. In the first step, the original video flow is segmented into physical shots. During the second step, the video is transferred into shot identifier sequence through classifying the physical shots into five classes. The shot identifier sequence is segmented into transaction sequences and a transaction database is constructed for storing transaction sequences. The traditional APRIORI algorithm is applied to mining the transaction database to obtain association patterns, which are used to form video summarization in the last step. The experimental results show that the proposed method is practical because it has achieved high rates of recall and precision.

Key words: shot classification, transaction sequence, transaction database, video association mining, highlights