Recent Advances in Efficient Image and Video Processing

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 80

Special Issue Editors


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Guest Editor
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: computer vision; deep learning; video image analysis

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Guest Editor
School of Information and Communication Engineering , Dalian University of Technology, Dalian 116024, China
Interests: computer vision; deep learning; video image analysis

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Guest Editor
Department of AI, Korea University, Seoul 02841, Republic of Korea
Interests: computer vision; deep learning; transfer learning

Special Issue Information

Dear Colleagues,

The Special Issue on “Recent Advances in Efficient Image and Video Processing” aims to explore the latest developments in efficient models and learning techniques that address the ever-increasing demands of visual data processing. As the volume and complexity of image and video content continue to escalate across industries such as entertainment, healthcare, security, and communication, there is a pressing need for solutions that can deliver high performance while minimizing computational resources and data cost. This Special Issue will spotlight innovative approaches that address these demands, including the development of lightweight and scalable models, energy-efficient algorithms, and methods that accelerate training and inference processes without sacrificing accuracy. Additionally, it will delve into research on data-efficient learning techniques and optimization strategies that enable efficient processing in resource-constrained environments. We invite original contributions that present novel methodologies, theoretical insights, and practical implementations that push the boundaries of efficiency in image and video processing, catering to both academic research and real-world applications.

Prof. Dr. Ping Hu
Dr. Lu Zhang
Dr. Donghyun Kim
Guest Editors

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Keywords

  • efficient image/ video processing
  • lightweight models
  • real-time processing
  • data-efficient learning
  • energy-efficient algorithms

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Published Papers

This special issue is now open for submission.
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