Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Scale & Affine Invariant Interest Point Detectors
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Image Based Localization in Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Proceedings of the 18th international conference on World wide web
Placing flickr photos on a map
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
TravelScope: standing on the shoulders of dedicated travelers
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Improving Bag-of-Features for Large Scale Image Search
International Journal of Computer Vision
How computer vision can help in outdoor positioning
AmI'07 Proceedings of the 2007 European conference on Ambient intelligence
Accurate image localization based on google maps street view
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
VIRaL: Visual Image Retrieval and Localization
Multimedia Tools and Applications
Finding locations of flickr resources using language models and similarity search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Automatic tagging and geotagging in video collections and communities
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Multimodal location estimation on Flickr videos
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
City-scale landmark identification on mobile devices
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A visual approach for video geocoding using bag-of-scenes
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Placing images on the world map: a microblog-based enrichment approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Predicting geographic location using exclusively the visual content of images holds the promise of greatly benefiting users' access to media collections. In this paper, we present a visual-content-based approach that predicts where in the world a social image was taken. We employ a ranking method that assigns a query photo the geo-location of its most likely geo-visual neighbor in the social image collection. The novelty of the approach is that ranking makes use not only of the photos themselves, but also their geo-visual neighbors. In contrast to other approaches, we do not restrict the locations we predict to landmarks or specific cities. The approach is evaluated on a set of 3 million geo-tagged photos from Flickr, released by MediaEval 2012. Experiments show that the proposed system delivers a substantive performance improvement compared with previously proposed, related visual content-based approaches. The discussion illustrates how photo densities, geo-visual redundancy and uploader patterns characteristic of social image collections impacts the performance.