Lightweight Deepfake Detection Based on Multi-Feature Fusion
Deepfake technology utilizes deep learning (DL)-based face manipulation techniques to seamlessly replace faces in videos, creating highly realistic but artificially generated content. Although this technology has beneficial applications in media and entertainment, misuse of its capabilities may lead...
Saved in:
| Main Authors: | Siddiqui Muhammad Yasir, Hyun Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/4/1954 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of soft computing techniques in machine reading of Quranic Kufic manuscripts
by: Aasim Zafar, et al.
Published: (2022-06-01) -
Texture Analysis and Classification using Local Binary Patterns and Statistical Features
by: Hasan Maher
Published: (2024-09-01) -
Reservoir Fluid Identification Method Based on Multi-Feature Fusion
by: JIANG Guoqiang, et al.
Published: (2024-12-01) -
Emotion Recognition in the Eye Region Using Textural Features, IBP and HOG
by: Laura Jalili, et al.
Published: (2024-01-01) -
Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques
by: Mustafa Basthikodi, et al.
Published: (2024-10-01)