会议专题

Hierarchical video summarization extraction algorithm in compressed domain

In this paper, a hierarchical video summarization representation algorithm was proposed for video analysis in compressed domain. In particular, Rough Sets(RS) theory is introduced for video analysis to inrease the efficiency of algorithm. Firstly, DCT coefficients and DC coefficients are extracted from video image sequences, so an Information System can construct -with DC coefficient. Then, Information System is reduced by ruduction theory of RS, the representation of the video frame is obtained by reduced DC coefficients. Finaly, we can obtain the reduced Information System, i.e. the Core of Information System. Since the Core contained all the information in video sequences, and at the same time it banished redundant video frame, so it can be viewed as the efficient summarization representation. As our experimental results indicate that the algorithm can efficiently generate a set of video summarization representative of compressed domain videos sequences. Compared to conventional algorithm, the algorithm en joys following advantages, (1)only a subset of video frames considered during video analysis, so it can avoid the computational complexity, (2) the video summarization representation becomes more scientific and efficient than previous methods.

summarizatiion video analasys compressed omain

LI Xiang-wei ZHAO Li-dong ZHAO Kai

Department of Computer Engineering, Lanzhou Polytechnic College, Lanzhou 730050, China Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050

国际会议

2010 Third Pacific-Asia Conference on Web Mining and Web-based Application(2010年第三届web挖掘和基于web应用亚太会议 WMWA 2010)

桂林

英文

433-436

2010-11-17(万方平台首次上网日期,不代表论文的发表时间)