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Cluster Computing
Published in: Cluster Computing 1/2019

03-02-2018

Parallel image search application based on online hashing hierarchical ranking

Authors: Xiaofei Li, Di He, Jun-yi Li

Published in: Cluster Computing | Special Issue 1/2019

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Abstract

As we know that the nearest neighbor search is a good and effective method for large-scaled image search. This paper mainly focuses on the design and implementation of parallel image retrieval system based on Hadoop architecture and hashing binary code. Firstly, the whole architecture design of the system and the whole flow of image Hash retrieval are introduced. Then, the image feature extraction based on MAPREDUCE parallel data processing framework, as well as the next feature quantization and the construction method of the Hash index table are introduced in details. Finally, through the comparison of retrieval performances on the INRIA data set, it has been proved that the proposed system has better performance than the single node system on both the retrieval speed and the capability of dealing with massive data.
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Metadata
Title
Parallel image search application based on online hashing hierarchical ranking
Authors
Xiaofei Li
Di He
Jun-yi Li
Publication date
03-02-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 1/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-1922-8

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