Digital Signal and Image Processing for Multimedia Technology

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

Deadline for manuscript submissions: 15 January 2025 | Viewed by 469

Special Issue Editors


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Guest Editor
Department of Information and Computer Engineering, Chung Yuan Christian University, Taoyuan City 320314, Taiwan
Interests: artificial intelligence; machine learning; deep learning; virtual reality
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate Institute of Intelligent Robotics, Hwa Hsia University of Technology, New Taipei City 235, Taiwan
Interests: artificial intelligence; machine learning; image processing; biometrics; pattern recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Determining how to employ deep learning technology has become a primary research topic in numerous fields. These include, for example, image processing, computer vision, the Internet of Things, natural language processing, and multimedia processing. In addition, due to the increasing process power of electronic devices and the expansion of network transmission bandwidth, deep learning models have begun to be embedded in various edge devices for application in several fields, such as automobiles, transportation, education, manufacturing, and many others.

In this Special Issue, entitled "Deep Learning Applications in Image Processing and Edge Devices", we invite authors to submit original research articles and review articles related to the application of deep learning techniques in image processing and edge devices.

We are open to papers addressing a wide range of topics, including deep learning for image analysis problems, novel algorithms for applying deep learning to various computer vision domains, and innovative methods for porting deep learning models to edge devices.

Topics of interest in this Special Issue include, but are not limited to, the following:

  • Machine learning and deep learning for image processing and computer vision;
  • Deep learning algorithms for clustering and classification;
  • Deep learning algorithms for segmentation and data annotation;
  • Embedded multimedia applications for edge computing;
  • Novel applications in robotic vision and intelligent consumer electronics;
  • Application architecture of AI-based systems.

Dr. Chi-hung Chuang
Prof. Dr. Chih-Lung Lin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • image processing
  • computer vision
  • deep learning
  • neural network
  • artificial intelligence
  • multimedia processing

Published Papers

This special issue is now open for submission.
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