A novel RS-based key frame extraction algorithm for video mining in compressed-domain

doi:10.1007/978-3-642-25781-0_1

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	A novel RS-based key frame extraction algorithm for video mining in compressed-domain
	Mei, Liu
	2012
会议日期	June 17, 2011 - June 19, 2011
会议地点	Changchun, China
关键词	Discrete cosine transforms Extraction Information systems Compressed domain Conventional algorithms DC coefficient DCT coefficients Discrete Cosine Transform(DCT) Key-frame extraction Video analysis Video contents
卷号	124 LNEE
期号	VOL. 1
DOI	10.1007/978-3-642-25781-0_1
页码	1-6
英文摘要	It is a challenging issue to analyze video content for video mining tasks due to lacking of effective method to video analysis. In this paper, we propose a novel key frame extraction algorithm based on Rough Sets (RS) in Discrete Cosine Transform (DCT) compressed-domain. Firstly, we extract DCT coefficients in compressed-domain, select and preprocess the DC coefficients that derived from DCT coefficients. Secondly, we construct Information System with DC coefficients. Finally, we reduce Information System using attributes reduced theory of RS, and obtained the representation of the video frames by reduced DC coefficients. Experimental results show that the proposed algorithm is fast and effective. Compared to conventional algorithm, our algorithm enjoys the following advantages: (1) the numbers of the key frame extracted using our algorithm become more scientific; (2) the algorithm can avoid the expensive computations in decompression process. © 2012 Springer-Verlag GmbH.
会议录	Lecture Notes in Electrical Engineering
会议录出版者	Springer Verlag
语种	英语
ISSN号	18761100
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115980]
专题	兰州理工大学
作者单位	College of Electrical Engineering and Information Engineering, Lanzhou Univ. of Tech., Lanzhou 730050, China
推荐引用方式 GB/T 7714	Mei, Liu. A novel RS-based key frame extraction algorithm for video mining in compressed-domain[C]. 见:. Changchun, China. June 17, 2011 - June 19, 2011.