Video forgery detection method based on local difference binary
Recently, the rapid development of video editing software has made video forgery applicable. Researchers have proposed methods to detect forged video frames. These methods utilize codec properties, motion artifacts, noise effect and frame similarity to detect forgery. Execution time and low detectio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pamukkale University
2020-10-01
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| Series: | Pamukkale University Journal of Engineering Sciences |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/pub/pajes/issue/57240/815511 |