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This paper introduces recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We first analyze bag-of-features in the framework of approximate nearest neighbor search. This shows the sub-optimality of such a representation for matching ...

This talk addresses the problem of building models for category-level recognition. The starting point is a set of local invariant features which have been shown to support the robust recognition of specific objects and scenes. In the category-level object recognition context, it is no longer suffici ...