High-dimensional indexing technologies for large scale content-based image retrieval: a review-Reference-Cited by-同舟云学术

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

Published:2013-07 Issue:7 Volume:14 Page:505-520
ISSN:1869-1951
Container-title:Journal of Zhejiang University SCIENCE C
language:en
Short-container-title:J. Zhejiang Univ. - Sci. C

Author:

Ai Lie-fu,Yu Jun-qing,He Yun-feng,Guan Tao

Publisher

Zhejiang University Press

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1631/jzus.CIDE1304.pdf

Reference112 articles.

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2. Anan, C.S., Hartley, R., 2008. Optimised KD-Trees for Fast Image Descriptor Matching. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, p.1–8. [doi:10.1109/CVPR.2008.4587638]

3. Andoni, A., Indyk, P., 2006. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions. IEEE Symp. on Foundations of Computer Science, p.459–468. [doi:10.1109/FOCS.2006.49]

4. Andoni, A., Indyk, P., 2008. Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. Commun. ACM, 51(1):117–122. [doi:10.1145/1327452.1327494]

5. Arya, S., Mount, D.M., 1993. Algorithm for Fast Vector Quantization. Data Compression Conf., p.381–390. [doi:10.1109/DCC.1993.253111]

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