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J. Imaging
Special Issues
Selected Papers from the 21st International Conference on Image Analysis...
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Selected Papers from the 21st International Conference on Image Analysis and Processing (ICIAP 2021)

A special issue of Journal of Imaging (ISSN 2313-433X). This special issue belongs to the section "Image and Video Processing".

Deadline for manuscript submissions: closed (30 July 2022) | Viewed by 12734

Special Issue Editors

Prof. Dr. Elisa Ricci

E-Mail Website
Guest Editor
Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 9, 38123 Povo - Trento, Italy
Interests: computer vision; deep learning; video analysis and understanding; robot vision
Dr. Alessia Saggese

E-Mail Website
Guest Editor
DIEM, University of Salerno, 84084 Salerno, Italy
Interests: computer vision; cognitive robotics
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Cosimo Distante

E-Mail Website
Guest Editor
Institute of Applied Sciences and Intelligent Systems “ScienceApp", Consiglio Nazionale delle Ricerche, c/o Dhitech Campus Universitario Ecotekne, Via Monteroni s/n, 73100 Lecce, Italy
Interests: computer vision; pattern recognition; video surveillance; object tracking; deep learning; audience measurements; visual interaction; human–robot interaction
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Stan Sclaroff

E-Mail Website
Guest Editor
Department of Computer Science, College of Arts & Sciences, Boston University, Boston, MA, USA
Interests: computer vision; pattern recognition; machine learning; multimedia

Special Issue Information

Dear Colleagues,

This Special Issue is connected to the ICIAP2021 Conference and related to both classic and recent trends in computer vision, pattern recognition, and image processing, and it shall cover both theoretical and applicative aspects, with particular emphasis on the following topics:

  • Video analysis and understanding
  • Pattern recognition and machine learning
  • Deep learning
  • Multiview geometry and 3D computer vision
  • Image analysis, detection, and recognition
  • Multimedia
  • Biomedical and assistive technology
  • Digital forensics and biometrics
  • Image processing for cultural heritage
  • Robot vision

Prof. Dr. Elisa Ricci
Prof. Dr. Alessia Saggese
Prof. Dr. Cosimo Distante
Prof. Dr. Stan Sclaroff
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. Journal of Imaging is an international peer-reviewed open access monthly 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 1800 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.

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

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Research

21 pages, 4549 KiB  
Article
The Face Deepfake Detection Challenge
by Luca Guarnera, Oliver Giudice, Francesco Guarnera, Alessandro Ortis, Giovanni Puglisi, Antonino Paratore, Linh M. Q. Bui, Marco Fontani, Davide Alessandro Coccomini, Roberto Caldelli, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Giuseppe Amato, Gianpaolo Perelli, Sara Concas, Carlo Cuccu, Giulia Orrù, Gian Luca Marcialis and Sebastiano Battiato
J. Imaging 2022, 8(10), 263; https://doi.org/10.3390/jimaging8100263 - 28 Sep 2022
Cited by 28 | Viewed by 11752
Abstract
Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for the research community. The Deepfake detection [...] Read more.
Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for the research community. The Deepfake detection task has become widely addressed, but unfortunately, approaches in the literature suffer from generalization issues. In this paper, the Face Deepfake Detection and Reconstruction Challenge is described. Two different tasks were proposed to the participants: (i) creating a Deepfake detector capable of working in an “in the wild” scenario; (ii) creating a method capable of reconstructing original images from Deepfakes. Real images from CelebA and FFHQ and Deepfake images created by StarGAN, StarGAN-v2, StyleGAN, StyleGAN2, AttGAN and GDWCT were collected for the competition. The winning teams were chosen with respect to the highest classification accuracy value (Task I) and “minimum average distance to Manhattan” (Task II). Deep Learning algorithms, particularly those based on the EfficientNet architecture, achieved the best results in Task I. No winners were proclaimed for Task II. A detailed discussion of teams’ proposed methods with corresponding ranking is presented in this paper. Full article
(This article belongs to the Special Issue Selected Papers from the 21st International Conference on Image Analysis and Processing (ICIAP 2021))
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