The study of effective video summarization algorithm | |
Ma, Donglin; Zhang, Xijun; Mi, Qian | |
2013 | |
会议日期 | November 10, 2012 - November 11, 2012 |
会议地点 | Guangzhou, China |
关键词 | Information systems Rough set theory Video recording Coefficients Compressed domain DC coefficient DCT coefficients Rough set Rough Sets Theory Video analysis Video frame Video image sequences Video sequences Video summarization |
卷号 | 263-266 |
期号 | PART 1 |
DOI | 10.4028/www.scientific.net/AMM.263-266.2364 |
页码 | 2364-2368 |
英文摘要 | In this paper, a video summarization representation algorithm was proposed in compressed domain. In particular, Rough sets(RS) theory is introduced for video analysis to increase. Firstly, DCT coefficients and DC coefficients are extracted from video image sequences, so an Information System can construct with DC coefficients. Then Information System is reduced by ruduction theory of RS, the representation of the video frame is obtained by reduced DC coefficients. Finally, 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 effective summarization representation. Experimental results indicate that the algorithm can efficiently generate a set of summarization representative of videos sequences and enjoys following advantages. Only a subset of video frames considered during video analysis, so it can avoid the computational complexity, the video summarization representation becomes more scientific than previous methods. © (2013) Trans Tech Publications, Switzerland. |
会议录 | Applied Mechanics and Materials
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会议录出版者 | Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany |
语种 | 英语 |
ISSN号 | 16609336 |
内容类型 | 会议论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/117616] ![]() |
专题 | 党委学生工作部(学生处、易班、武装部) 研究生院 |
作者单位 | Lanzhou University of Technology, Lanzhou, China |
推荐引用方式 GB/T 7714 | Ma, Donglin,Zhang, Xijun,Mi, Qian. The study of effective video summarization algorithm[C]. 见:. Guangzhou, China. November 10, 2012 - November 11, 2012. |
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