首页    期刊浏览 2024年11月29日 星期五
登录注册

文章基本信息

  • 标题:Mining Video Association Rules Based on Weighted Temporal Concepts
  • 本地全文:下载
  • 作者:V.Vijayakumar ; R.Nedunchezhian
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Discovery of video association rules has been found useful in many applications to explore the video knowledge such as video indexing, summarization, classification and semantic event detection. The traditional classical association rule mining algorithms can not apply directly to the video database. It differs in two ways such as spatial and temporal properties of the video database and significance of the items in the vide cluster sequence. The proposed paper discovers significant relationships in video sequence using weighted temporal concepts. The weights of the video items take the quality of transactions into considerations using modified link-based models. The proposed Modified HITS based weighted temporal concept did not require pre-assigned weights. The mined association rules have more practical significance. This strategy identifies the valuable rules comparing with Apriori based video sequence algorithm. We also present results of applying these algorithms to a synthetic data set, which show the effectiveness of our algorithm.
  • 关键词:Video Temporal Sequence; Video Segmentation; Frequent Pattern; Modified HITS.
国家哲学社会科学文献中心版权所有