Efficient clustering of high-dimensional data sets with application to reference matching
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-view Matching for Unordered Image Sets, or "How Do I Organize My Holiday Snaps?"
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
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
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Image Based Localization in Urban Environments
3DPVT '06 Proceedings of the Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)
Proceedings of the 15th international conference on Multimedia
Robust Object Detection with Interleaved Categorization and Segmentation
International Journal of Computer Vision
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Proceedings of the 18th international conference on World wide web
Large-Scale Discovery of Spatially Related Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Retrieving landmark and non-landmark images from community photo collections
Proceedings of the international conference on Multimedia
Feature map hashing: sub-linear indexing of appearance and global geometry
Proceedings of the international conference on Multimedia
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Landmark recognition and retrieval: from 2D to 3D
J-HGBU '11 Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding
A visual approach for video geocoding using bag-of-scenes
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Understanding how visual context influences multimedia content analysis problems
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Identification of scene locations from geotagged images
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multimedia multimodal geocoding
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Geo-visual ranking for location prediction of social images
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
A non-parametric unsupervised approach for content based image retrieval and clustering
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
An intelligent web recommendation system for ubiquitous geolocation awareness
International Journal of Ad Hoc and Ubiquitous Computing
World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging
Proceedings of the 5th ACM Multimedia Systems Conference
Freegaming: Mobile, collaborative, adaptive and augmented exergaming
Mobile Information Systems
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New applications are emerging every day exploiting the huge data volume in community photo collections. Most focus on popular subsets, e.g., images containing landmarks or associated to Wikipedia articles. In this work we are concerned with the problem of accurately finding the location where a photo is taken without needing any metadata, that is, solely by its visual content. We also recognize landmarks where applicable, automatically linking them to Wikipedia. We show that the time is right for automating the geo-tagging process, and we show how this can work at large scale. In doing so, we do exploit redundancy of content in popular locations--but unlike most existing solutions, we do not restrict to landmarks. In other words, we can compactly represent the visual content of all thousands of images depicting e.g., the Parthenon and still retrieve any single, isolated, non-landmark image like a house or a graffiti on a wall. Starting from an existing, geo-tagged dataset, we cluster images into sets of different views of the same scene. This is a very efficient, scalable, and fully automated mining process. We then align all views in a set to one reference image and construct a 2D scene map. Our indexing scheme operates directly on scene maps. We evaluate our solution on a challenging one million urban image dataset and provide public access to our service through our online application, VIRaL.