GPS Estimation from Users’ Photos
Jing Li1; Xueming Qian1; Yuan Yan Tang2; Linjun Yang3; Chaoteng Liu1
Conference Name19th International Conference, MMM 2013
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7732 LNCS
IssuePART 1
Conference DateJanuary 2013
Conference PlaceHuangshan

Nowadays social media are very popular for people to share their photos with their friends. Many of the photos are geo-tagged (with GPS information) whether automatically or manually. Social media management websites such as Flickr allow users manually labeling their uploaded photos with GPS with the interface of dragging them into the map. However, manually dragging the photos to the map will bring more error and very boring for users to labeling their photos. Thus in this paper, a GPS location estimation approach is proposed. For an uploaded image, its GPS information is estimated by both hierarchical global feature classification and local feature refinement to guarantee the accuracy and computational cost. To guarantee the estimation performances, k-nearest neighbors are selected in global feature classification stage. Experiments show the effectiveness of our proposed approach. © Springer-Verlag 2013.

KeywordBow Geo-tag Gps Estimation Hierarchical Structure K-nn
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Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Depart. Information and Communication Engineering, Xi’an Jiaotong University, China
2.FST of Macau University, Macau, China
3.Microsoft Research Asia, China
Recommended Citation
GB/T 7714
Jing Li,Xueming Qian,Yuan Yan Tang,et al. GPS Estimation from Users’ Photos[C],2013:118-129.
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