An Improved Content Based Image Retrieval System On Apache Spark
Yixiao Duan, Linhua Jiang, Xiao Lin, Xiaodong Chen
Available Online July 2016.
- https://doi.org/10.2991/mcae-16.2016.26How to use a DOI?
- image retrieval; CBIR system; apache spark; apache avro
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/mcae-16.2016.26 ID - Duan2016/07 ER -