A novel hierarchical dynamic video summarization representation for video analysis

doi:10.4028/www.scientific.net/AMR.490-495.465

CORC > 兰州理工大学 > 兰州理工大学

	A novel hierarchical dynamic video summarization representation for video analysis
	Li, Xiangwei 1; Kang, Yuxiu 2; Zheng, Gang 2
	2012
会议日期	May 18, 2012 - May 19, 2012
会议地点	GuiLin, China
关键词	Algorithms Information systems Intelligent materials Rough set theory Attributes reduction Compressed domain DC coefficient DCT coefficients Rough set Video analysis Video frame Video image sequences Video information Video sequences Video summarization
卷号	490-495
DOI	10.4028/www.scientific.net/AMR.490-495.465
页码	465-469
英文摘要	Based on Rough Sets (RS), a novel effective video summarization representation was proposed for video analysis in compressed domain. Firstly, DCT coefficients and DC coefficients are extracted from original video image sequences, so an Information System can construct with DC coefficients. Then, Information System is reduced by attributes reduction theory of RS, the representation of the video frame is achieved by reduced DC coefficients. Finally, the reduced Information System can be achieved. Since the Core of Information System contained all major video information in video sequences, which banished the redundant video frame, so it can be considered as the efficient summarization representation. Compared to conventional or existing algorithm, the algorithm enjoys 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. (3) According to the reduced frame number, the algorithm can extract hierarchical dynamic video summarization representation. © (2012) Trans Tech Publications, Switzerland.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116393]
专题	兰州理工大学
作者单位	1.Lanzhou Polytechnic College, Lanzhou, 730050, China; 2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Li, Xiangwei,Kang, Yuxiu,Zheng, Gang. A novel hierarchical dynamic video summarization representation for video analysis[C]. 见:. GuiLin, China. May 18, 2012 - May 19, 2012.