SHS Web Conf.
Volume 139, 2022The 4th ETLTC International Conference on ICT Integration in Technical Education (ETLTC2022)
|Number of page(s)||5|
|Section||Topics in Computer Science|
|Published online||13 May 2022|
Implementation and Optimization of Image Processing Algorithm using Machine Learning and Image Compression
1 Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece
* e-mail: firstname.lastname@example.org
This research paper deals with the implementation of an image captioning algorithm using Tensorflow, Keras, and Python, as well as a way proposed for optimization, using image compression techniques. The objective is to use image compression techniques to minimize data size, execution time, and computer resources since machine learning applications often have numerous constraints concerning energy consumption, processing power, and dataset sizes, thus making them less efficient for real-time, applied use cases. We can find new ways to apply machine learning in more simple real-life applications by attempting to reduce such obstacles.
© The Authors, published by EDP Sciences, 2022
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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