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This paper presents a novel method for efficient image retrieval, based on a simple and effective hashing of CNN features and the use of an indexing structure based on Bloom filters. These filters are used as gatekeepers for the database of image features, allowing to avoid to perform a query if the query features are not stored in the database and speeding up the query process, without affecting retrieval performance. Thanks to the limited memory requirements the system is suitable for mobiledoi:10.1109/ism.2016.0113 dblp:conf/ism/SalviEBB16 fatcat:fy7xmkbdyzderbmwjngzj6mm2q