Socio-mobile landmark recognition using local features with adaptive region selection

doi:10.1016/j.neucom.2014.10.105

	Socio-mobile landmark recognition using local features with adaptive region selection
	Zhang, Chunjie1 ; Zhang, Yifan2 ; Zhu, Xiaobin 3; Xue, Zhe 1; Qin, Lei 4; Huang, Qingming 1,4; Tian, Qi 5
发表期刊	NEUROCOMPUTING
	2016-01-08
期号	172 页码:100-113
文章类型	Article
摘要	With the fast development of mobile devices as well as the broadband wireless network, mobile devices are playing a more and more important role in people's daily life. Nowadays, many landmark images are captured by mobile devices. However, these images are often captured under different lightening conditions with varied poses and camera orientations. Besides, people are inherently connected by personal interests as well as various interactions. To alleviate the imaging problem with mobile devices as well as take advantage of the social information for mobile visual applications, we propose a novel socio-mobile visual recognition method using local features with adaptive region selection. We densely extract local regions and use the pixel gradients to represent each local region. Each local region is divided into 4 x 4 subregions to combine the spatial information. Instead of using fixed pixel numbers for each subregion, we adaptively choose the proper size of each subregion to cope with varied poses and camera orientations. The most discriminative local features are then chosen by minimizing the sparse coding loss. Besides, a geo-discriminative codebook is also generated to take advantages of images' location information. Moreover, we jointly consider the visual distances as well as user's friends' matching results to further boost the final visual recognition performance. We achieve the state-of-the-art performance on the Stanford mobile visual search dataset and the San Francisco landmark dataset. These experimental results demonstrate the effectiveness and efficiency of the proposed adaptive region selection based local features for sodo-mobile landmark recognition. (C) 2015 Elsevier B.V. All rights reserved.
关键词	Mobile Social Relationship Adaptive Region Selection Local Feature Geo-codebook Visual Recognition
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2014.10.105
关键词[WOS]	IMAGE CLASSIFICATION ; ANNOTATION ; SCALE
收录类别	SCI
语种	英语
项目资助者	National Basic Research Program of China (973 Program)(2012CB316400) ; National Natural Science Foundation of China(61303154 ; 61202325 ; 61402023 ; 61379100 ; 61133003 ; 61332016)
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000364884700012
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/10519
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 3.Beijing Technol & Business Univ, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intell Info Proc, Beijing 100190, Peoples R China 5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
推荐引用方式 GB/T 7714	Zhang, Chunjie,Zhang, Yifan,Zhu, Xiaobin,et al. Socio-mobile landmark recognition using local features with adaptive region selection[J]. NEUROCOMPUTING,2016(172):100-113.
APA	Zhang, Chunjie.,Zhang, Yifan.,Zhu, Xiaobin.,Xue, Zhe.,Qin, Lei.,...&Tian, Qi.(2016).Socio-mobile landmark recognition using local features with adaptive region selection.NEUROCOMPUTING(172),100-113.
MLA	Zhang, Chunjie,et al."Socio-mobile landmark recognition using local features with adaptive region selection".NEUROCOMPUTING .172(2016):100-113.

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