Deep Learning-Based Real Time Approach for Image/Video Processing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 736

Special Issue Editor

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Guest Editor
Department of Embedded Systems Engineering, Incheon National University, 119 Academy-ro, Yeonsu-gu, Incheon 22012, Republic of Korea
Interests: remote sensing; deep learning; artificial intelligence; image processing; signal processing
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Special Issue Information

Dear Colleagues,

Artificial intelligence provides new opportunities to enhance predictive models that can process a wide variety of image and video processing applications. Deep learning-based real-time signal processing, such as image and video processing, has been a topic of rigorous research over the last decade. Rapid scientific advances, particularly in the area of model development, have resulted in several incredible real-time tools that rely on signal processing. 

There are still, however, many tasks in the application of deep learning models, such as massive data necessities for training/testing and computing power. 

Our Special Issue aims to report the latest advances and trends concerning deep learning-based real-time approaches for image/video processing in relation to electronics issues. Papers of both a theoretical and applicative nature, as well as contributions regarding new advanced artificial learning and signal processing techniques for the electronics research community, are welcome. 

Dr. Gwanggil Jeon
Guest Editor

Manuscript Submission Information

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  • machine learning
  • remote sensing
  • signal/image/video processing
  • deep learning
  • artificial intelligence
  • time series processing

Published Papers

There is no accepted submissions to this special issue at this moment.
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