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Geo-distinctive Visual Element Matching for Location Estimation of Images
These representations are based on visual element clouds, which robustly capture the connection between the query and visual evidence from candidate locations.
Learning Subclass Representations for Visually-varied Image Classification
The novelty of the approach is that subclass representations make use of not only the content of the photos themselves, but also information on the co-occurrence of their tags, which determines membership in both subclasses and top-level classes.
Pairwise Geometric Matching for Large-Scale Object Retrieval
Spatial verification is a key step in boosting the performance of object-based image retrieval.
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