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Video inter‐frame forgery identification based on the consistency of quotient of MSSIM

https://doi.org/10.1002/sec.1648
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sec.864openalex-snapshot
Steganalysis of least significant bit matching using multi‐order differences
inferredcites →https://doi.org/10.1002/sec.981openalex-snapshot
Efficient video frame insertion and deletion detection based on inconsistency of correlations between local binary pattern coded frames
inferredcites →https://doi.org/10.1007/978-3-642-40099-5_22openalex-snapshot
A Novel Video Inter-frame Forgery Model Detection Scheme Based on Optical Flow Consistency
inferredcites →https://doi.org/10.1007/s11042-014-2381-8openalex-snapshot
Steganalysis of LSB matching using differences between nonadjacent pixels
inferredcites →https://doi.org/10.1049/cp.2012.0426openalex-snapshot
Advanced video camera identification using conditional probability features
inferredcites →https://doi.org/10.1109/chinasip.2014.6889253openalex-snapshot
Detection of double compression with the same bit rate in MPEG-2 videos
inferredcites →https://doi.org/10.1109/icassp.2012.6288150openalex-snapshot
Exposing video forgeries by detecting MPEG double compression
inferredcites →https://doi.org/10.1109/mmsp.2008.4665069openalex-snapshot
Video forgery detection using correlation of noise residue
inferredcites →https://doi.org/10.1109/tifs.2014.2381872openalex-snapshot
Segmentation-Based Image Copy-Move Forgery Detection Scheme
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1145/1161366.1161375openalex-snapshot
Exposing digital forgeries in video by detecting double MPEG compression
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/2600918.2600923openalex-snapshot
Automatic location of frame deletion point for digital video forensics

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-05171-6_16openalex-snapshot
A Digital Forensic Technique for Inter–Frame Video Forgery Detection Based on 3D CNN
inferred← citeshttps://doi.org/10.1007/s11042-018-6570-8openalex-snapshot
Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames
inferred← citeshttps://doi.org/10.1007/s11042-019-08272-yopenalex-snapshot
A passive blind forgery detection technique to identify frame duplication attack
inferred← citeshttps://doi.org/10.1007/s11042-020-09974-4openalex-snapshot
A comprehensive survey on passive techniques for digital video forgery detection
inferred← citeshttps://doi.org/10.1007/s11042-023-15561-0openalex-snapshot
Multiple forgery detection in digital video with VGG-16-based deep neural network and KPCA
inferred← citeshttps://doi.org/10.1007/s11277-021-09227-zopenalex-snapshot
RETRACTED ARTICLE: A Comprehensive Survey of Detection of Tampered Video and Localization of Tampered Frame
inferred← citeshttps://doi.org/10.1007/s11760-023-02990-5openalex-snapshot
Continuity-attenuation captured network for frame deletion detection
inferred← citeshttps://doi.org/10.1007/s12652-021-03386-4openalex-snapshot
A fast forgery frame detection method for video copy-move inter/intra-frame identification
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2020.106929openalex-snapshot
Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis
inferred← citeshttps://doi.org/10.1109/access.2021.3061586openalex-snapshot
Frame Deletion Detection Based on Optical Flow Orientation Variation
inferred← citeshttps://doi.org/10.1109/icccmla56841.2022.9989283openalex-snapshot
Matrix Decomposition based Digital Video Forgery Detection
inferred← citeshttps://doi.org/10.1109/icicas48597.2019.00126openalex-snapshot
Video Object Forgery Detection Algorithm Based on VGG-11 Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/itnt57377.2023.10139053openalex-snapshot
Method for Frame Removal Detection in Static Camera Surveillance Video
inferred← citeshttps://doi.org/10.1109/tbc.2017.2704423openalex-snapshot
Adaptive Inter CU Depth Decision for HEVC Using Optimal Selection Model and Encoding Parameters
inferred← citeshttps://doi.org/10.1364/boe.545628openalex-snapshot
Lightweight denoising speckle contrast image GAN for real-time denoising of laser speckle imaging of blood flow
inferred← citeshttps://doi.org/10.3390/app8101891openalex-snapshot
A Survey on Robust Video Watermarking Algorithms for Copyright Protection
inferred← citeshttps://doi.org/10.3390/jimaging7030047openalex-snapshot
Detecting and Locating Passive Video Forgery Based on Low Computational Complexity Third-Order Tensor Representation
inferred← citeshttps://doi.org/10.3390/s26020517openalex-snapshot
Temporal Tampering Detection in Automotive Dashcam Videos via Multi-Feature Forensic Analysis and a 1D Convolutional Neural Network
inferred← citeshttps://doi.org/10.4018/ijdcf.2020010102openalex-snapshot
A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification
inferred← citeshttps://doi.org/10.4236/jis.2021.122008openalex-snapshot
Authentication of Video Evidence for Forensic Investigation: A Case of Nigeria
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