计算机工程与应用2012，Vol.48Issue(15)：159-163,5.DOI:10.3778/j.issn.1002-8331.2012.15.033
基于事务序列的视频摘要挖掘方法研究
Research on method of video summarization mining based on transaction sequence
摘要
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.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Key words
shot classification/transaction sequence/transaction database/video association mining/highlights分类
信息技术与安全科学引用本文复制引用
赵丕锡,李宏岩,徐国凯..基于事务序列的视频摘要挖掘方法研究[J].计算机工程与应用,2012,48(15):159-163,5.基金项目
国家科技支撑计划项目(No.2009BAH411305). （No.2009BAH411305）
