CORC  > 兰州理工大学  > 兰州理工大学
Rough Sets based video mining preprocessing algorithm in compressed domain
Li Xiang-wei2,3; Zhang Ming-xin3; Zhu Ya-ling3; Li Xing-du3; Ma Ting-bing1
2009
DOI10.1109/GCIS.2009.150
页码470-+
英文摘要A critical and fundamental task in video mining is data preprocessing, in this paper, aimed to overcome limitations of redundant data for video mining, the paper propose a video mining preprocessing algorithm based oil Rough Sets. Firstly, the representative data of video sequences is extracted in compressed domain. Secondly, the Information System Table is constructed by extracted representative data. Finally, the Core of Information System Table is achieved by making use of the attributes reduction theory of RS As our experimental results indicate, the algorithm can get effective and scientific data to complete video mining such as key frame extraction and shot segmentation and other operations. Compared to existing techniques, our proposed algorithm enjoys following advantages (1) only a subset of frames need to be considered during video mining. (2)The limitations of requirements for a huge amount of memory and CPU resource are overcome.
会议录PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL II
会议录出版者IEEE COMPUTER SOC
会议录出版地10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种英语
WOS研究方向Computer Science ; Engineering
WOS记录号WOS:000275817000092
内容类型会议论文
源URL[http://119.78.100.223/handle/2XXMBERH/37884]  
专题兰州理工大学
通讯作者Li Xiang-wei
作者单位1.Northwest Normal Univ, Coll Math & Informat Sci, Lanzhou 730070, Peoples R China
2.Lanzhou Univ Tech, Coll Elect Engn & Informat, Lanzhou 730050, Peoples R China
3.Lanzhou Polytech Coll, Dept Comp Engn, Lanzhou 730050, Peoples R China
推荐引用方式
GB/T 7714
Li Xiang-wei,Zhang Ming-xin,Zhu Ya-ling,et al. Rough Sets based video mining preprocessing algorithm in compressed domain[C]. 见:.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace