ITM Web Conf.
Volume 53, 20232nd International Conference on Data Science and Intelligent Applications (ICDSIA-2023)
|Number of page(s)||11|
|Section||Ethics, Privacy and Trust, Computer Network, Big Data Systems|
|Published online||01 June 2023|
Optimised Image Storage and Retrieval on Hadoop
KLE Technological University, Hubli, Karnataka, India
* Corresponding Author: email@example.com
With the exponential growth of data, it is difficult to efficiently store and retrieve data using traditional methods. There is a need to optimize the storage and to efficiently retrieve relevant data matching the user query. Traditional methods lack optimized storage and to effectively retrieve data. To overcome these limitations, in this project, we propose a distributed architecture framework to optimize memory usage and to effectively retrieve relevant data using Content-Based Image Retrieval (CBIR). The experimental results show that the proposed model enhances storage performance and retrieval time by 20%.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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