ITE Transactions on Media Technology and Applications

A Survey of Product Quantization

Yusuke Matsui
National Institute of Informatics
Yusuke Uchida
DeNA
Hervé Jégou
Facebook AI Research
Shin'ichi Satoh
National Institute of Informatics

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Abstract

Product Quantization (PQ) search and its derivatives are popular and successful methods for large-scale approximated nearest neighbor search. In this paper, we review the fundamental algorithm of this class of algorithms and provide executable sample codes. We then provide a comprehensive survey of the recent PQ-based methods.

Publication

BibTeX

@article{ite_matsui_2018,
    title={A Survey of Product Quantization},
    author={Yusuke Matsui and Yusuke Uchida and Herv\'{e} J\'{e}gou and Shin'ichi Satoh},
    journal={ITE Transactions on Media Technology and Applications},
    volume={6},
    number={1},
    pages={2--10},
    year={2018},
}

Last updated: October 16, 2021