An Improved Content Based Image Retrieval System On Apache Spark

DOI

10.2991/mcae-16.2016.26How to use a DOI?

Keywords

image retrieval; CBIR system; apache spark; apache avro

Abstract

Traditional CBIR (Content Based Image Retrieval) system on parallel platform spends too much time facing large-scale images. In this paper, we present an improved CBIR system based on Apache Spark, a fast and general large-scale data processing engine. At first, we do preliminary processing to build system environment and extract feature vectors. Then, in order to solve the problem of huge numbers of small files, we construct image database by using Apache Avro to combine these small files and improve structure of the common Avro file and so making it more suitable for our system. Finally, at the matching stage, we make the Avro file to be persisted in memory and reused conveniently. Multiple experimental results show our approach performs well in terms of both speed and accuracy rate.

Copyright

© 2016, 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  - Yixiao Duan
AU  - Linhua Jiang
AU  - Xiao Lin
AU  - Xiaodong Chen
PY  - 2016/07
DA  - 2016/07
TI  - An Improved Content Based Image Retrieval System On Apache Spark
BT  - Proceedings of the 2016 International Conference on Mechatronics, Control and Automation Engineering
PB  - Atlantis Press
SP  - 107
EP  - 110
SN  - 2352-5401
UR  - https://doi.org/10.2991/mcae-16.2016.26
DO  - 10.2991/mcae-16.2016.26
ID  - Duan2016/07
ER  -