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2019 | OriginalPaper | Chapter

A New Parallel and Distributed Approach for Large Scale Images Retrieval

Authors : Mohammed Amin Belarbi, Sidi Ahmed Mahmoudi, Saïd Mahmoudi, Ghalem Belalem

Published in: Cloud Computing and Big Data: Technologies, Applications and Security

Publisher: Springer International Publishing

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Abstract

The process of image retrieval presents a great interest in the domains of computer vision, video-surveillance, etc. Visual characteristics of image such as color, texture, shape are used to identify the content of images. However, the retrieving process becomes very challenging due to the hard management of large databases in terms of storage, computation complexity, performance and similarity representation.
In this paper, we propose a new approach for indexing images by the content. The proposed method provides a parallel and distributed computation using the HIPI framework (Hadoop Image Processing Interface) and HDFS (Hadoop Distributed File System) as a storage system, and exploiting the high power of GPUs (Graphic Processing Units). As result, our approach allows to manage and process, fastly, large images databases, thanks to the distributed storage (HDFS) and the GPU parallel computations.

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Footnotes
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Metadata
Title
A New Parallel and Distributed Approach for Large Scale Images Retrieval
Authors
Mohammed Amin Belarbi
Sidi Ahmed Mahmoudi
Saïd Mahmoudi
Ghalem Belalem
Copyright Year
2019
Book
Cloud Computing and Big Data: Technologies, Applications and Security

Print ISBN: 978-3-319-97718-8

Electronic ISBN: 978-3-319-97719-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-97719-5_13