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New Development in Machine Learning in Image and Video Forensics

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 June 2026 | Viewed by 30

Special Issue Editors


E-Mail Website
Guest Editor
Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: genomics; wavelets; image processing
Special Issues, Collections and Topics in MDPI journals
School of Information Science and Engineering, Shandong University, Qingdao 266237, China
Interests: ship detection; SAR

Special Issue Information

Dear Colleagues,

Recent developments in machine learning have significantly advanced the capabilities of image and video forensics. This Special Issue focuses on novel algorithms, architectures, and frameworks that enhance source identification, tampering detection, and content authentication in digital media.

Submissions are invited on topics including, but not limited to, deep learning-based methods for source camera identification and camera device linking, and image and video forgery detection. High relevance will be given to methods addressing challenges in real-world conditions, such as forensic analysis in image/video sourced from applications or social media platforms, surgical videos, or high-resolution surveillance systems.

Studies offering new forensic datasets, interpretable models, or efficient authentication schemes for resource-constrained environments are also encouraged. Research combining theoretical innovation with practical deployment potential, such as in law enforcement, healthcare, or security applications, is of particular interest.

The aim of this Special Issue is to provide a platform for sharing cutting-edge machine learning approaches in multimedia forensics. Contributions that present robust, scalable, and explainable solutions for forensic trace extraction and evidence analysis will help shape future directions in the field. Original research, review articles, and application-driven studies are all welcome for consideration.

Dr. Ngai Fong Bonnie Law
Dr. Yunxia Liu
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. Applied Sciences 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

  • machine learning forensics
  • image tampering detection
  • source camera identification
  • deep learning for multimedia
  • video authentication
  • forensic neural networks
  • explainable AI in forensics

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Published Papers

This special issue is now open for submission.
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