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The Yael library

Matthijs Douze 1 Hervé Jégou 2
1 LEAR - Learning and recognition in vision
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 TEXMEX - Multimedia content-based indexing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper introduces YAEL, a library implementing computationally intensive functions used in large scale image retrieval, such as neighbor search, clustering and inverted files. The library offers interfaces for C, Python and Matlab. Along with a brief tutorial, we analyze and discuss some implementation choices and their impact on efficiency.
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Contributor : Hervé Jégou <>
Submitted on : Tuesday, July 8, 2014 - 1:46:20 PM
Last modification on : Friday, July 3, 2020 - 4:48:49 PM
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Matthijs Douze, Hervé Jégou. The Yael library. 22nd ACM International Conference on Multimedia , Nov 2014, Orlando, United States. pp.687-690 ⟨10.1145/2647868.2654892⟩. ⟨hal-01020695⟩



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