Snoop

Olivier Buisson 1 Jean-Christophe Lombardo 2 Alexis Joly 3
3 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Snoop is a C++ framework dedicated to large-scale content-based image retrieval. Its main features are (i) the extraction and efficient indexing of visual features (hand-crafted or learned through deep learning), (ii) the search of similar images through approximate k-nearest neighbors and (iii), the supervised recognition of trained visual concepts. The framework can be used either as a set of C++ libraries or as a set of web services through a RESTFUL API. Snoop is the visual search engine used by the Pl@ntNet applications (very large audience).
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https://hal.archives-ouvertes.fr/hal-02096036
Contributor : Alexis Joly <>
Submitted on : Thursday, April 11, 2019 - 9:23:49 AM
Last modification on : Friday, October 11, 2019 - 1:17:40 AM

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Olivier Buisson, Jean-Christophe Lombardo, Alexis Joly. Snoop. 2019. ⟨hal-02096036⟩

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