Exposing video surveillance object forgery by combining TSF features and attention-based deep neural networks.
J. Vis. Commun. Image Represent., 2024
Efficient detection of intra/inter-frame video copy-move forgery: A hierarchical coarse-to-fine method.
J. Inf. Secur. Appl., 2024
A Novel Copy-Move Forgery Detection Algorithm via Gradient-Hash Matching and Simplified Cluster-Based Filtering.
Int. J. Pattern Recognit. Artif. Intell., May, 2023
A fast forgery frame detection method for video copy-move inter/intra-frame identification.
J. Ambient Intell. Humaniz. Comput., March, 2023
Video Surveillance Object Forgery Detection using PDCL Network with Residual-based Steganalysis Feature.
Int. J. Intell. Syst., 2023
A Novel Image Copy-Move Forgery Detection Algorithm Using the Characteristics of Local Descriptors.
Int. J. Pattern Recognit. Artif. Intell., December, 2022
Coarse-to-fine spatial-channel-boundary attention network for image copy-move forgery detection.
Soft Comput., 2022
Effective and efficient pixel-level detection for diverse video copy-move forgery types.
Pattern Recognit., 2022
A novel copy-move forgery detection algorithm via two-stage filtering.
Digit. Signal Process., 2021