Rapid Search Scheme for Video Copy Detection in Large Databases

摘要：

Content-based video copy detection aims at deciding whether there is a common segment between the query video and the video in the database. In this paper, a copy detection system is proposed based on local features that can deal with most video transformations and realize video searching in the database by using inverted file. Local features are first extracted and then clustered to visual words as index of the inverted file. The voting strategy makes use of the property of temporal consistence. The experimental results indicate that these visual features are robust and the searching in database is feasible.

关键词： copy detection SIFT visual words inverted file

作者: Mei Mei Zhicheng Zhao Anni Cai Xiaohui Xie

作者单位: School of Information and Telecommunication Engineering BUPT Beijing,P.R.China Nokia (China) Investment Co.Ltd.Beijing,P.R.China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2263-2267

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）