Multi-source fusion based geo-tagging for web images
Ma, Xiang; Zhao, Yisi; Qian, Xueming; Tang, Yuan Yan
AbstractGeographic locations estimation for web images have been received a lot of attention in recent years. With the help of smart phone, it is very popular for us to capture photos and share them in our social media networks. Users often generate several tags to describe image content. Many images are embedded with with geo-tags. In this paper, we propose an effective image GPS (geo-coordinates or geo-tags) estimation approach by fusing the multi-source such as textual, temporal and visual features of web images. We propose a hierarchical strategy to inference the GPS of web image. We preselect several geographic locations of higher expected relevance and perform a deeper analysis inside the selected locations to return the coordinates most likely to be related to the input image by an enhanced language model. Experiments show the effectiveness of our proposed approach.
KeywordGPS estimation Geo-graphical Geo-tag Image retrieval Social media SIFT
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Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000439750300018
The Source to ArticleWOS
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Ma, Xiang,Zhao, Yisi,Qian, Xueming,et al. Multi-source fusion based geo-tagging for web images[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2018,77(13):16399-16417.
APA Ma, Xiang,Zhao, Yisi,Qian, Xueming,&Tang, Yuan Yan.(2018).Multi-source fusion based geo-tagging for web images.MULTIMEDIA TOOLS AND APPLICATIONS,77(13),16399-16417.
MLA Ma, Xiang,et al."Multi-source fusion based geo-tagging for web images".MULTIMEDIA TOOLS AND APPLICATIONS 77.13(2018):16399-16417.
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