Multimedia Forensics: discovering the history of multimedia contents
Abstract
Multimedia Forensics is devoted to analyse digital multimedia contents such as photo, video and audio in order to produce evidences in the forensics domain. Specifically Image Forensics focuses on investigating on still images by analysing the authenticity and integrity of data (Forgery Detection) and by reconstructing the history of the image itself since its acquisition (Image Ballistics). In this paper, a survey on image ballistics and forgery detection methods will be covered by presenting the most recent and promising approaches.
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Cites
Information Forensics: An Overview of the First Decade
Stamm, M. C., Wu, M., & Liu, K. J. R. (2013) · IEEE Access · doi:10.1109/access.2013.2260814 · Cited by 394 · see citing works
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DeepFake Detection by Analyzing Convolutional Traces
Guarnera, L., Giudice, O., & Battiato, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00341 · Cited by 374 · see citing works
Self-citationEmotions Don't Lie: An Audio-Visual Deepfake Detection Method using Affective Cues
Mittal, T., Bhattacharya, U., Chandra, R., Bera, A., & Manocha, D. (2020) · Proceedings of the 28th ACM International Conference on Multimedia · doi:10.1145/3394171.3413570 · Cited by 319 · see citing works
Fighting Deepfake by Exposing the Convolutional Traces on Images
Guarnera, L., Giudice, O., & Battiato, S. (2020) · IEEE Access · doi:10.1109/access.2020.3023037 · Cited by 149 · see citing works
Self-citation
- Authors
- Battiato, S., Giudice, O., & Paratore, A.
- Affiliations
- University of Catania (IT)
- Venue
- Proceedings of the 17th International Conference on Computer Systems and Technologies 2016
- Publisher
- ACM
- Published
- 2016-06-23
- Pages
- 5-16
- ISSN
- 1313-8936 (ISSN-L)
- OpenAlex
- W2554158934
- Cited by
- 37
- References
- 1
- Citations by year
- 2025: 1 · 2024: 4 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 7 · 2019: 2 · 2018: 1 · 2017: 2
- FWCI
- 0.58
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Computer Systems and Technologies (CompSysTech) (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
- Keywords
- multimedia forensics, image forensics, forgery detection, image integrity, digital image authentication, image reconstruction
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