CORC  > 大连理工大学
Multi-level feature representations for video semantic concept detection
Li, Haojie; Liu, Lijuan; Sun, Fuming; Bao, Yu; Liu, Chenxin
刊名NEUROCOMPUTING
2016
卷号172页码:64-70
关键词Video retrieval Concept detection Semantic gap Fisher Vector LDA
ISSN号0925-2312
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4366381
专题大连理工大学
作者单位1.Dalian Univ Technol, Sch Software, Dalian, Peoples R China.
2.Dalian Univ Technol, Dalian, Peoples R China.
3.Liaoning Univ Technol, Sch Elect & Informat Engn, Jinzhou, Liaoning, Peoples R China.
推荐引用方式
GB/T 7714
Li, Haojie,Liu, Lijuan,Sun, Fuming,et al. Multi-level feature representations for video semantic concept detection[J]. NEUROCOMPUTING,2016,172:64-70.
APA Li, Haojie,Liu, Lijuan,Sun, Fuming,Bao, Yu,&Liu, Chenxin.(2016).Multi-level feature representations for video semantic concept detection.NEUROCOMPUTING,172,64-70.
MLA Li, Haojie,et al."Multi-level feature representations for video semantic concept detection".NEUROCOMPUTING 172(2016):64-70.
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