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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.7 P.505-520

http://doi.org/10.1631/jzus.CIDE1304


High-dimensional indexing technologies for large scale content-based image retrieval: a review


Author(s):  Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan

Affiliation(s):  School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; more

Corresponding email(s):   ailiefuhu@gmail.com, yjqing@hust.edu.cn, yfhe@hust.edu.cn, qd_gt@126.com

Key Words:  Tree-based index, Hashing-based index, Bag-of-features (BOF), Descriptor encoding, Inverted index


Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan. High-dimensional indexing technologies for large scale content-based image retrieval: a review[J]. Journal of Zhejiang University Science C, 2013, 14(7): 505-520.

@article{title="High-dimensional indexing technologies for large scale content-based image retrieval: a review",
author="Lie-fu Ai, Jun-qing Yu, Yun-feng He, Tao Guan",
journal="Journal of Zhejiang University Science C",
volume="14",
number="7",
pages="505-520",
year="2013",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.CIDE1304"
}

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%T High-dimensional indexing technologies for large scale content-based image retrieval: a review
%A Lie-fu Ai
%A Jun-qing Yu
%A Yun-feng He
%A Tao Guan
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%P 505-520
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%I Zhejiang University Press & Springer
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T1 - High-dimensional indexing technologies for large scale content-based image retrieval: a review
A1 - Lie-fu Ai
A1 - Jun-qing Yu
A1 - Yun-feng He
A1 - Tao Guan
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 7
SP - 505
EP - 520
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.CIDE1304


Abstract: 
The boom of Internet and multimedia technology leads to the explosion of multimedia information, especially image, which has created an urgent need of quickly retrieving similar and interested images from huge image collections. The content-based high-dimensional indexing mechanism holds the key to achieving this goal by efficiently organizing the content of images and storing them in computer memory. In the past decades, many important developments in high-dimensional image indexing technologies have occurred to cope with the ‘curse of dimensionality’. The high-dimensional indexing mechanisms can mainly be divided into three categories: tree-based index, hashing-based index, and visual words based inverted index. In this paper we review the technologies with respect to these three categories of mechanisms, and make several recommendations for future research issues.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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