Implementation and Optimization of Image Processing Algorithm using Machine Learning and Image Compression

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 comp...

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Bibliographic Details
Published in:SHS web of conferences 2022, Vol.139, p.3014
Main Authors: Zacharis, Georgios, Gadounas, Giannis, Tsirtsakis, Pashalis, Maraslidis, George, Assimopoulos, Nikolaos, Fragulis, George
Format: Article
Language:English
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Summary: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.
ISSN:2261-2424
2416-5182
2261-2424
DOI:10.1051/shsconf/202213903014