Frame Identification of Object-Based Video Tampering Using Symmetrically Overlapped Motion Residual [PDF]
Symmetry, 2022 Image and video manipulation has been actively used in recent years with the development of multimedia editing technologies. However, object-based video tampering, which adds or removes objects within a video frame, is posing challenges because it is difficult to verify the authenticity of videos.
Il Kyu Eom
exaly +2 more sources
Passive forensics for video object removal tampering
网络与信息安全学报, 2017 Firstly, the concept and importance of digital video object removal tampering forensics were introduced. Then, several current passive forensics algorithms for object removal tampering were selected and divided into two categories that based on ...
Ye YAO, Wei-tong HU, Yi-zhi REN
doaj +5 more sources
Passive forensic based on spatio-temporal localization of video object removal tampering
Tongxin xuebao, 2020 To address the problem of identification of authenticity and integrity of video content and the location of video tampering area,a deep learning detection algorithm based on video noise flow was proposed.Firstly,based on SRM (spatial rich model) and C3D (
Linqiang CHEN +5 more
doaj +3 more sources
Space-time Domain Jointed Detection Algorithm for Object Removing Video [PDF]
Jisuanji gongcheng, 2018 With the rapid development of multimedia technology tampering software becomes more and more easy to be obtained and used.However,the subsequent forged video interfere the justice of judgment seriously in the meantime.So the detection of video forgery ...
WANG Bin,WANG Rangding
doaj +1 more source
Forensic of video object removal tamper based on 3D dual-stream network
Tongxin xuebao, 2021 In order to solve the problems of inaccurate temporal detection and location of the object removal tampered video， a video tamper forensics method based on 3D dual-stream network was proposed.Firstly， the spatial rich model （SRM） layer was used to extract the high-frequency information from video frames.Secondly， the improved 3D convolution （C3D ...
Lizhi XIONG, Mengqi CAO, Zhangjie FU
openaire +2 more sources
IET SoftwareThe modern metropolis essentially demands the use of state-of-the-art, real-time surveillance systems, which should be reliable, scalable, and respectful of privacy at the same time. Critical shortcomings in traditional architectures are single points of
Shihab Sarar +3 more
doaj +1 more source
A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends. [PDF]
Multimed Tools Appl, 2023 El-Shafai W +3 more
europepmc +1 more source
Deep learning and multi-statistical features: an intra-frame forgery detection video method. [PDF]
Front Artif IntellUliyan D +4 more
europepmc +1 more source
Temporal Tampering Detection in Automotive Dashcam Videos via Multi-Feature Forensic Analysis and a 1D Convolutional Neural Network. [PDF]
Sensors (Basel)Shinwari AR, Khairuddin UB, Haniff MFB.
europepmc +1 more source
Integrating 1D-CNN and Bi-GRU for ENF-Based Video Tampering Detection. [PDF]
Sensors (Basel)Lin X, Zang X.
europepmc +1 more source