Introduction to Information Retrieval
Introduction to Information Retrieval
Geographical information retrieval
International Journal of Geographical Information Science
Learning to rank for content-based image retrieval
Proceedings of the international conference on Multimedia information retrieval
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
Exploiting clustering approaches for image re-ranking
Journal of Visual Languages and Computing
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
Learning to associate relevant photos to georeferenced textual documents
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
A visual approach for video geocoding using bag-of-scenes
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Domain-specific image geocoding: a case study on Virginia tech building photos
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
Tag configuration matcher for geo-tagging
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
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This work is developed in the context of the placing task of the MediaEval 2011 initiative. The objective is to geocode (or geotag) a set of videos, i.e., automatically assign geographical coordinates to them. This paper presents an architecture for multimodal geocoding that exploits both visual and textual descriptions associated with videos. This work also describes our efforts regarding the implementation of this architecture to demonstrate its applicability. Conducted experiments show how our multimodal approach enhances the results compared to relying on a single modality.