Video Copy Detection Based on Fusion of Spatio-temporal Features
A video copy detection method based on fusion of spatio-temporal features is proposed in this paper.Firstly,trajectories are built and lens boundaries are detected by SURF features analyzing,then normalized histogram is used to describe spatio-temporal behavior of trajectories,the bag of visual words is constructed by trajectories behavior clustering,word frequency vectors and SURF features with behavior labels are extracted to express spatio-temporal content of lens,finally,duplicates are detected efficiently based on gradematch.The experimental results show the performance of this method is improved greatly compared with other similar methods.
Video copy detection Speeded-up robust feature Spatio-temporal behavior of trajectories Bag of visual words Grade-match
BAO Wei JI Lixin GAO Shilin LI Xing Liu Lixiong
National Digital switching System Engineering & Technological R&D Center Zhengzhou, China
国际会议
太原
英文
255-260
2013-04-06（万方平台首次上网日期，不代表论文的发表时间）