Machine Learning
Unsupervised learning by probabilistic latent semantic analysis
Machine Learning
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
A geo-coding service encompassing a geo-parsing tool and integrated digital gazetteer service
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
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
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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
Extracting Geospatial Entities from Wikipedia
ICSC '09 Proceedings of the 2009 IEEE International Conference on Semantic Computing
Automatic tagging and geotagging in video collections and communities
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
Geo-Location estimation of flickr images: social web based enrichment
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
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
Multimodal geo-tagging in social media websites using hierarchical spatial segmentation
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
@Phillies Tweeting from Philly? Predicting Twitter User Locations with Spatial Word Usage
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
A study on the accuracy of Flickr's geotag data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia
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We present three approaches for placing videos in Flickr on the world map. The toponym extraction and geo lookup approach makes use of external resources to identify toponyms in the metadata and associate them with geo-coordinates. The metadata-based region model approach uses a k-nearest-neighbour classifier trained over geographical regions. Videos are represented using their metadata in a text space with reduced dimensionality. The visual region model approach uses a support vector machine also trained over geographical regions. Videos are represented using low-level feature vectors from multiple key frames. Voting methods are used to form a single decision for each video. We compare the approaches experimentally, highlighting the importance of using appropriate metadata features and suitable regions as the basis of the region model. The best performance is achieved by the geo-lookup approach used with fallback to the visual region model when the video metadata contains no toponym.