Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests

	Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests
	Wang, X; Yan, GL; Wang, HY; Fu, JH; Hua, J; Wang, JQ; Yang, YT; Zhang, GF; Bao, HJ
刊名	PATTERN RECOGNITION
	2017-02
卷号	62 页码:189-201
关键词	Semantic annotation Superpixel segmentation 2D-3D feature fusion ABDF model
ISSN号	0031-3203
通讯作者	Wang, HY (reprint author), Zhejiang Gongshang Univ, Sch Comp Sci & Informat Engn, Hangzhou 310018, Zhejiang, Peoples R China.
学科主题	Computer Science; Engineering
出版地	OXFORD
语种	英语
WOS记录号	WOS:000387429100014
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/189581]
专题	信息科学与工程学院_期刊论文
推荐引用方式 GB/T 7714	Wang, X,Yan, GL,Wang, HY,et al. Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests[J]. PATTERN RECOGNITION,2017,62:189-201.
APA	Wang, X.,Yan, GL.,Wang, HY.,Fu, JH.,Hua, J.,...&Bao, HJ.(2017).Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests.PATTERN RECOGNITION,62,189-201.
MLA	Wang, X,et al."Semantic annotation for complex video street views based on 2D-3D multi-feature fusion and aggregated boosting decision forests".PATTERN RECOGNITION 62(2017):189-201.