Compact Tensor Based Image Representation for Similarity Search

Romain Negrel 1 David Picard 1 Philippe-Henri Gosselin 2
2 MIDI
ETIS - Equipes Traitement de l'Information et Systèmes
Abstract : 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.
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Conference papers
IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. 2012
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Romain Negrel, David Picard, Philippe-Henri Gosselin. Compact Tensor Based Image Representation for Similarity Search. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. 2012. 〈hal-00753157〉

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