Compact Tensor Based Image Representation for Similarity Search
Résumé
Within the Content Based Image Retrieval (CBIR) frame- work, one of the main challenges is to tackle the scalability issues. We propose a new compact signature for similarity search. We use an original method to perform a high com- pression of signatures while retraining their effectiveness. We propose an embedding method that maps large signatures into a low-dimensional hilbert space. We evaluated the method on Holidays database and compared the results with methods of state-of-the-art.
Origine | Fichiers produits par l'(les) auteur(s) |
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