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Within the Content Based Image Retrieval (CBIR) framework, 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 compression 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.doi:10.1109/icip.2012.6467387 dblp:conf/icip/NegrelPG12 fatcat:r3x74fx5qja6focmrf2mrqavhy