Compact Tensor Based Image Representation for Similarity Search

Romain Negrel (1) , David Picard (1) , Philippe-Henri Gosselin (2)

1 ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes
2 MIDI - Multimedia Indexation and Data Integration

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.

Domains: Machine Learning [stat.ML]; Multimedia [cs.MM]

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. ⟨hal-00753157⟩