Image Location Estimation by Salient Region Matching

被引：26

作者：

Qian, Xueming ^{[1
,2
]}

Zhao, Yisi ^{[3
]}

Han, Junwei ^{[4
]}

机构：

[1] Xi An Jiao Tong Univ, Minist Educ, Key Lab Intelligent Networks & Network Secur, Xian 710049, Peoples R China

[2] Xi An Jiao Tong Univ, SMILES Lab, Xian 710049, Peoples R China

[3] Xi An Jiao Tong Univ, SMILES Lab, Sch Elect & Informat Engn, Xian 710049, Peoples R China

[4] Northwestern Polytech Univ, Sch Automat, Xian 710072, Peoples R China

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2015年 / 24卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Image retrieval; bag-of-words; spatial constraint; salient area detection; mean-shift; OBJECT DETECTION; RETRIEVAL; FRAMEWORK; FEATURES;

D O I：

10.1109/TIP.2015.2462131

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, locations of images have been widely used in many application scenarios for large geo-tagged image corpora. As to images which are not geographically tagged, we estimate their locations with the help of the large geo-tagged image set by content-based image retrieval. In this paper, we exploit spatial information of useful visual words to improve image location estimation (or content-based image retrieval performances). We proposed to generate visual word groups by mean-shift clustering. To improve the retrieval performance, spatial constraint is utilized to code the relative position of visual words. We proposed to generate a position descriptor for each visual word and build fast indexing structure for visual word groups. Experiments show the effectiveness of our proposed approach.

引用

页码：4348 / 4358

页数：11

共 63 条

[41] Visual word spatial arrangement for image retrieval and classification [J].

Penatti, Otavio A. B. ;

Silva, Fernanda B. ;

Valle, Eduardo ;

Gouet-Brunet, Valerie ;

Torres, Ricardo da S. .

PATTERN RECOGNITION, 2014, 47 (02) :705-720

[42]

Philbin J., 2008, 2008 IEEE C COMPUTER, P1

[43] HWVP: hierarchical wavelet packet descriptors and their applications in scene categorization and semantic concept retrieval [J].

Qian, Xueming ;

Guo, Danping ;

Hou, Xingsong ;

Li, Zhi ;

Wang, Huan ;

Liu, Guizhong ;

Wang, Zhe .

MULTIMEDIA TOOLS AND APPLICATIONS, 2014, 69 (03) :897-920

[44]

Quack Till., 2008, P 2008 INT C CONTENT, P47

[45] Interaction Design for Mobile Visual Search [J].

Sang, Jitao ;

Mei, Tao ;

Xu, Ying-Qing ;

Zhao, Chen ;

Xu, Changsheng ;

Li, Shipeng .

IEEE TRANSACTIONS ON MULTIMEDIA, 2013, 15 (07) :1665-1676

[46] Feature Learning for Image Classification via Multiobjective Genetic Programming [J].

Shao, Ling ;

Liu, Li ;

Li, Xuelong .

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2014, 25 (07) :1359-1371

[47] Video Google: A text retrieval approach to object matching in videos [J].

Sivic, J ;

Zisserman, A .

NINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS I AND II, PROCEEDINGS, 2003, :1470-+

[48]

Wu Z, 2009, PROC CVPR IEEE, P25, DOI 10.1109/CVPRW.2009.5206566

[49]

Xue Y, 2012, IEEE IMAGE PROC, P2873, DOI 10.1109/ICIP.2012.6467499

[50] Image collection summarization via dictionary learning for sparse representation [J].

Yang, Chunlei ;

Shen, Jialie ;

Peng, Jinye ;

Fan, Jianping .

PATTERN RECOGNITION, 2013, 46 (03) :948-961

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