Application Of Image Retrieval Method Based on BOF

DOI

10.2991/iiicec-15.2015.312How to use a DOI?

Keywords

BOF; Image Retrieval; Image Feature

Abstract

For the massive image data and the problem of “dimension disaster”, this paper proposes the BOF-based image retrieval improved algorithm, and combines with VLAD and soft assignment it generates the soft assignment local aggregation descriptor (SA-VLAD) which has a better ability to resist the dimension reduction and a higher recognition rate. When the index mechanism IVFADC is at query time, to ensure the recall ratio and precision rate of the result, the candidates inverted index chain are increased, which leads to the problems of distance calculation and the query time’s increasing. For this point, in the index phase, the scattered distribution is carried out aiming at the database vector, which reduces the burden of distance calculation, and improves the quality of the query results at the same time.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xue Xiao
PY  - 2015/03
DA  - 2015/03
TI  - Application Of Image Retrieval Method Based on BOF
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1407
EP  - 1410
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.312
DO  - 10.2991/iiicec-15.2015.312
ID  - Xiao2015/03
ER  -