Lip-Audio Modality Fusion for Deep Forgery Video Detection
In response to the problem of traditional methods ignoring audio modality tampering, this study aims to explore an effective deep forgery video detection technique that improves detection precision and reliability by fusing l... | Find, read and cite all the research you need on Tech Science Press
Authors
- Li Cheng (ORCID: https://orcid.org/0000-0001-5173-5056)
- R. Holland Cheng (ORCID: https://orcid.org/0000-0002-2068-7271)
- S. Ji
- Daofu Gong
- Zhiyu Wang (ORCID: https://orcid.org/0000-0002-9521-5324)
- Yong Liu (ORCID: https://orcid.org/0009-0004-0062-3395)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2024-12-11
- DOI
- https://doi.org/10.32604/cmc.2024.057859
- Citations
- 1
- Primary Topic
- Digital Media Forensic Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.25