Inferring photographic location using geotagged web images

[1]  Jiebo Luo,et al.  Geo-location inference from image content and user tags , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[2]  Hartwig Adam,et al.  Tour the world: Building a web-scale landmark recognition engine , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[3]  David J. Crandall,et al.  Mapping the world's photos , 2009, WWW '09.

[4]  Jiebo Luo,et al.  Event recognition: viewing the world with a third eye , 2008, ACM Multimedia.

[5]  Jiebo Luo,et al.  Leveraging probabilistic season and location context models for scene understanding , 2008, CIVR '08.

[6]  Jiebo Luo,et al.  Inferring generic activities and events from image content and bags of geo-tags , 2008, CIVR '08.

[7]  Luc Van Gool,et al.  World-scale mining of objects and events from community photo collections , 2008, CIVR '08.

[8]  Alexei A. Efros,et al.  IM2GPS: estimating geographic information from a single image , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Jiebo Luo,et al.  Selective hidden random fields: Exploiting domain-specific saliency for event classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[10]  Yanxi Liu,et al.  Detecting and matching repeated patterns for automatic geo-tagging in urban environments , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[11]  James Ze Wang,et al.  Image Retrieval: Ideas, Influences, and Trends of the New Age , 2022 .

[12]  Steven M. Seitz,et al.  Scene Summarization for Online Image Collections , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[13]  Robert Pless,et al.  Geolocating Static Cameras , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[14]  Fei-Fei Li,et al.  What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[15]  Mor Naaman,et al.  How flickr helps us make sense of the world: context and content in community-contributed media collections , 2007, ACM Multimedia.

[16]  Michael E. Lesk,et al.  New challenges in multimedia research for the increasingly connected and fast growing digital society , 2007, MIR '07.

[17]  Richard Szeliski,et al.  City-Scale Location Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[18]  Mor Naaman,et al.  Why we tag: motivations for annotation in mobile and online media , 2007, CHI.

[19]  Mor Naaman,et al.  Generating summaries and visualization for large collections of geo-referenced photographs , 2006, MIR '06.

[20]  Lior Wolf,et al.  A Critical View of Context , 2006, International Journal of Computer Vision.

[21]  Cordelia Schmid,et al.  Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[22]  Lior Wolf,et al.  Wide Baseline Matching between Unsynchronized Video Sequences , 2006, International Journal of Computer Vision.

[23]  Ravi Kumar,et al.  Visualizing tags over time , 2006, TWEB.

[24]  Ouri Wolfson,et al.  Extracting Semantic Location from Outdoor Positioning Systems , 2006, 7th International Conference on Mobile Data Management (MDM'06).

[25]  Jiebo Luo,et al.  Pictures are not taken in a vacuum - an overview of exploiting context for semantic scene content understanding , 2006, IEEE Signal Processing Magazine.

[26]  Paul M. B. Vitányi,et al.  The Google Similarity Distance , 2004, IEEE Transactions on Knowledge and Data Engineering.

[27]  Dong Liu,et al.  LORE: An infrastructure to support location-aware services , 2004, IBM J. Res. Dev..

[28]  Ron Sivan,et al.  Web-a-where: geotagging web content , 2004, SIGIR '04.

[29]  Ted Pedersen,et al.  WordNet::Similarity - Measuring the Relatedness of Concepts , 2004, NAACL.

[30]  Jochen Schiller,et al.  Location Based Services , 2004 .

[31]  Annika Hinze,et al.  Locations- and Time-Based Information Delivery in Tourism , 2003, SSTD.

[32]  Wei Zhang,et al.  Video Compass , 2002, ECCV.

[33]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[34]  R. Fergus,et al.  Tiny images , 2007 .