Gabor Analysis and Algorithms: Theory and Applications
Gabor Analysis and Algorithms: Theory and Applications
Scalable Color Image Indexing and Retrieval Using Vector Wavelets
IEEE Transactions on Knowledge and Data Engineering
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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
An agenda for the next generation gazetteer: geographic information contribution and retrieval
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
CEDD: color and edge directivity descriptor: a compact descriptor for image indexing and retrieval
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Multi-source toponym data integration and mediation for a meta-gazetteer service
GIScience'10 Proceedings of the 6th international conference on Geographic information science
Multi-modal, multi-resource methods for placing Flickr videos on the map
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
IEEE Transactions on Circuits and Systems for Video Technology
A visual approach for video geocoding using bag-of-scenes
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Multimodal Location Estimation of Consumer Media: Dealing with Sparse Training Data
ICME '12 Proceedings of the 2012 IEEE International Conference on Multimedia and Expo
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These days the sharing of photographs and videos is very popular in social networks. Many of these social media websites such as Flickr, Facebook and Youtube allows the user to manually label their uploaded videos with geo-information using a interface for dragging them into the map. However, the manually labelling for a large set of social media is still borring and error-prone. For this reason we present a hierarchical, multi-modal approach for estimating the GPS information. Our approach makes use of external resources like gazetteers to extract toponyms in the metadata and of visual and textual features to identify similar content. First, the national borders detection recognizes the country and its dimension to speed up the estimation and to eliminate geographical ambiguity. Next, we use a database of more than 3.2 million Flickr images to group them together into geographical regions and to build a hierarchical model. A fusion of visual and textual methods for different granularities is used to classify the videos' location into possible regions. The Flickr videos are tagged with the geo-information of the most similar training image within the regions that is previously filtered by the probabilistic model for each test video. In comparison with existing GPS estimation and image retrieval approaches at the Placing Task 2011 we will show the effectiveness and high accuracy relative to the state-of-the art solutions.