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Image Location Inference by Multisaliency Enhancement
Qian, Xueming1; Wang, Huan1; Zhao, Yisi1; Hou, Xingsong1; Hong, Richang2; Wang, Meng2; Tang, Yuan Yan3
Source PublicationIEEE Transactions on Multimedia

Locations of images have been widely used in many application scenarios for large geotagged image corpora. As to images that are not geographically tagged, we estimate their locations with the help of the large geotagged image set by content-based image retrieval. Bag-of-words image representation has been utilized widely. However, the individual visual word-based image retrieval approach is not effective in expressing the salient relationships of image region. In this paper, we present an image location estimation approach by multisaliency enhancement. We first extract region-of-interests (ROIs) by mean-shift clustering on the visual words and salient map of the image based on which we further determine the importance of the ROI. Then, we describe each ROI by the spatial descriptors of visualwords. Finally, regionbased visual phrases are generated to further enhance the saliency in image location estimation. Experiments show the effectiveness of our proposed approach.

KeywordLocation Estimation Region Of Interest (Roi) Visual Phrase Salient Map Salient Region Spatial Constraint
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000396395500012
The Source to ArticleWOS
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Cited Times [WOS]:24   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorQian, Xueming; Wang, Huan; Zhao, Yisi; Hou, Xingsong; Hong, Richang; Wang, Meng; Tang, Yuan Yan
Affiliation1.Smiles Laboratory, School of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2.Hefei University of Technology, Hefei 230009, China
3.Faculty of Science and Technology, Macau University, Macau, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Qian, Xueming,Wang, Huan,Zhao, Yisi,et al. Image Location Inference by Multisaliency Enhancement[J]. IEEE Transactions on Multimedia,2017,19(4):813-821.
APA Qian, Xueming,Wang, Huan,Zhao, Yisi,Hou, Xingsong,Hong, Richang,Wang, Meng,&Tang, Yuan Yan.(2017).Image Location Inference by Multisaliency Enhancement.IEEE Transactions on Multimedia,19(4),813-821.
MLA Qian, Xueming,et al."Image Location Inference by Multisaliency Enhancement".IEEE Transactions on Multimedia 19.4(2017):813-821.
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