CORC  > 武汉大学
A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities
Xiao, Jun; Zhan, Gen; Hu, Ruimin; Wang, Zhongyuan; Chen, Yu; Liao, Liang; Xiao, Jing
刊名SOFTWARE-PRACTICE & EXPERIENCE
2017
卷号47期号:8
关键词surveillance data compression ROI-based video coding sensitive objects saliency map rate control
ISSN号0038-0644
DOI10.1002/spe.2430
URL标识查看原文
收录类别SCIE ; EI
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3736857
专题武汉大学
推荐引用方式
GB/T 7714
Xiao, Jun,Zhan, Gen,Hu, Ruimin,et al. A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities[J]. SOFTWARE-PRACTICE & EXPERIENCE,2017,47(8).
APA Xiao, Jun.,Zhan, Gen.,Hu, Ruimin.,Wang, Zhongyuan.,Chen, Yu.,...&Xiao, Jing.(2017).A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities.SOFTWARE-PRACTICE & EXPERIENCE,47(8).
MLA Xiao, Jun,et al."A sensitive object-oriented approach to big surveillance data compression for social security applications in smart cities".SOFTWARE-PRACTICE & EXPERIENCE 47.8(2017).
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