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A Survey On Video Forgery Detection [article]

Sowmya K.N., H.R. Chennamma
2015 arXiv   pre-print
In this paper we give an overview of the prior literature and challenges involved in video forgery detection where passive approach is found.  ...  Tampering detection in video is cumbersome compared to image when considering the properties of the video.  ...  Object based video forgery detection is done by Richao et al.  ... 
arXiv:1503.00843v1 fatcat:lqq7ge3b3rg25nix4oastwdop4

Video Forgery Detection: State-of-The-Art Review

Xuan Hau Nguyen, Thai Son Tran
2022 Zenodo  
Keywords: Video forgery detection; Video forensic; Deepfake video detection; Deep learning; convolutional neural network.  ...  Also, an authentic video provides stronger evidence in court. Therefore, video forgery detection proves that video authenticity has become an urgent requirement today.  ...  Paper Publications Nowadays, there are many methods to detect forgery videos. Most of them are based on handicraft features analysis of video frames [4] .  ... 
doi:10.5281/zenodo.6536001 fatcat:werfoz4ulnbapa7epwbr2heewa

Digital Video Tampering Detection and Localization: Review, Representations, Challenges and Algorithm

Naheed Akhtar, Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Muhammad Hussain, Zulfiqar Habib
2022 Mathematics  
Over the years, significant research has been devoted to developing new techniques for detecting different types of video tampering.  ...  In this paper, we offer a detailed review of existing passive video tampering detection techniques in a systematic way. The answers to research questions prepared for this study are also elaborated.  ...  Object-based video forgery [27, 49, 53] has been detected with the statistical features by many researchers. Richao et al.  ... 
doi:10.3390/math10020168 fatcat:oznmjpt7qvesdoauboa5zptgma

Duplicate Frame Video Forgery Detection Using Siamese-based RNN

Maryam Munawar, Iram Noreen
2021 Intelligent Automation and Soft Computing  
This sequence is passed to Siamese-based RNN which is used for the sequence to sequence forgery detection in video.  ...  MFC and Image Retrieval and Analysis Tool (VIRAT) datasets are used for training and validation of the proposed model.  ...  [24] explored the issue of video forgery for object removal and introduced a new approach based on sequential and patch analyses to localize forged regions and detect video forgery by visualizing a  ... 
doi:10.32604/iasc.2021.018854 fatcat:urz2ao4xfvdplh72ah5m3p5cmi

Video Inter-Frame Forgery Identification Based on Consistency of Correlation Coefficients of Gray Values

Qi Wang, Zhaohong Li, Zhenzhen Zhang, Qinglong Ma
2014 Journal of Computer and Communications  
In this paper, we propose a method based on the assumption that the correlation coefficients of gray values is consistent in an original video, while in forgeries the consistency will be destroyed.  ...  Identifying inter-frame forgery is a hot topic in video forensics.  ...  Proposed Method Analysis of CCCoGV for Original Videos and Inter-Frame Forged Videos We proposed a method based on CCCoGV to classify original videos and inter-frame forgeries.  ... 
doi:10.4236/jcc.2014.24008 fatcat:zlvvcjanyjbpzhb5dcyy75oweq

Autoencoder with recurrent neural networks for video forgery detection

Dario D'Avino, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
2017 IS&T International Symposium on Electronic Imaging Science and Technology  
Video forgery detection is becoming an important issue in recent years, because modern editing software provide powerful and easy-to-use tools to manipulate videos.  ...  In this paper we propose to perform detection by means of deep learning, with an architecture based on autoencoders and recurrent neural networks.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon.  ... 
doi:10.2352/issn.2470-1173.2017.7.mwsf-330 fatcat:jtoxss4ej5hrtmxodi2eihjqcu

Video forgery detection based-on passive (blind) approach

Noraida Haji Ali, Fadilah Harun
2020 Journal of Advances in Technology and Engineering Research  
The research focus was to apply a passive approach to develop a new model for video forgery detection. This model will be used to build a powerful tool for detecting video authenticity.  ...  The passive approach will be extracting this feature from the video and analyzing them for different forgery detection.  ...  To solve this regarding issues, this study proposes an algorithm for extracting video structure to detect frame or image alterations based on similarity analysis using a blind approach.  ... 
doi:10.20474/jater-5.5.2 fatcat:23gmjo6t3ffr5apyxhvdttr7o4

Video Inter-frame Forgery Identification Based on Optical Flow Consistency

Qi Wang, Zhaohong Li, Zhenzhen Zhang, Qinglong Ma
2014 Sensors & Transducers  
In this paper, we propose a method based on the assumption that the optical flows are consistent in an original video, while in forgeries the consistency will be destroyed.  ...  Identifying inter-frame forgery is a hot topic in video forensics.  ...  Recently it is used in video inter-frame forgery detection [4] which is based on the assumption that for adjacent frames in original videos the optical flows are consistent, and inter-frame forgery will  ... 
doaj:c406f7032cdb4d73b9794583ce199391 fatcat:wlyvr7wsurfzlhhj5e7vkkb4ci

A Meaningful Compact Key Frames Extraction in Complex Video Shots

Manar Abduljabbar Mizher, Mei Choo Ang, Ahmad Abdel Jabbar Mazhar
2017 Indonesian Journal of Electrical Engineering and Computer Science  
Several video shots including original and forgery videos with complex conditions are used to verify the experimental results.  ...  An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles.  ...  detection in the process of video forgery systems based on fingerprint.  ... 
doi:10.11591/ijeecs.v7.i3.pp818-829 fatcat:pgztlagddfbblaesudpynm2u74

An Inter-Frame Forgery Detection Algorithm for Surveillance Video

Qian Li, Rangding Wang, Dawen Xu
2018 Information  
Inter-frame forgery is one of the most common ways for video tampering. The forgery will reduce the correlation between adjacent frames at tampering position.  ...  Surveillance systems are ubiquitous in our lives, and surveillance videos are often used as significant evidence for judicial forensics.  ...  ., R.W. and D.X. discussed and designed the forgery detection method.  ... 
doi:10.3390/info9120301 fatcat:bs7dhvyohnaxvfzeala2cu47xm

Forgery Attack Detection in Surveillance Video Streams Using Wi-Fi Channel State Information [article]

Yong Huang, Xiang Li, Wei Wang, Tao Jiang, Qian Zhang
2022 arXiv   pre-print
Traditional video forensics approaches can localize forgery traces using spatial-temporal analysis on relatively long video clips, while falling short in real-time forgery detection.  ...  Secure-Pose achieves a high detection accuracy of 98.7% and localizes abnormal objects under playback and tampering attacks.  ...  Video Forgery Detection. Passive video forensics approaches leverage video statistic characteristics to discover forgery traces [6] , [7] , [8] , [9] , [10] .  ... 
arXiv:2201.09487v1 fatcat:fsssrvun6fh4bjpuzq7cw2sz2q

Detecting and Locating Passive Video Forgery Based on Low Computational Complexity Third-Order Tensor Representation

Yasmin M. Alsakar, Nagham E. Mekky, Noha A. Hikal
2021 Journal of Imaging  
Forgery affects video integrity and authenticity and has serious implications. For example, digital videos for security and surveillance purposes are used as evidence in courts.  ...  Great attention is paid to detecting video forgeries nowadays, especially with the widespread sharing of videos over social media and websites.  ...  Hence, a threshold value is calculated based on the obtained statistics and is used to detect video forgery. Thresholds vary in correspondence to the nature of each video.  ... 
doi:10.3390/jimaging7030047 pmid:34460703 fatcat:djbnutbzvngmpfn63roaeoj2zq

Frame Identification of Object-Based Video Tampering Using Symmetrically Overlapped Motion Residual

Tae Hyung Kim, Cheol Woo Park, Il Kyu Eom
2022 Symmetry  
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.  ...  In this paper, we present a novel object-based frame identification network. The proposed method uses symmetrically overlapped motion residuals to enhance the discernment of video frames.  ...  Object-Based Video Forgery and Detection Object-based video forgery refers to adding new objects to or removing existing objects from a video frame.  ... 
doi:10.3390/sym14020364 fatcat:ocek4hh2j5cn3laby7lhmtvzay

Forensics Investigations of Multimedia Data: A Review of the State-of-the-Art

Rainer Poisel, Simon Tjoa
2011 2011 Sixth International Conference on IT Security Incident Management and IT Forensics  
For this reason this paper provides an overview of the state-of-the-art in the forensic investigation of multimedia data, the relationship between the various research fields and further potential research  ...  Content forgery Approaches for detecting content forgery exist for the three domains of visual, auditive and video data.  ...  For text-documents these probabilities can be determined using a slinding-window algorithm which evaluates the statistics for symbol usage in a language or, for generic data, is based on statistical models  ... 
doi:10.1109/imf.2011.14 dblp:conf/imf/PoiselT11 fatcat:bniyqnz7hnaffi57yv63maw3ca

Detection of Forgery Part in Forgery Image Using Color Intensity

Ms Kopulkar Shital Rangnath
2016 INTERNATIONAL JOURNAL OF EMERGING TRENDS IN SCIENCE AND TECHNOLOGY  
In the color of the illumination of images, we propose a forgery detection method that exploits subtle inconsistencies. Our approach is machine learning based and requires minimal user interaction.  ...  On image regions of similar material, to achieve this we incorporate information from physics and statistical based illuminant estimators.  ...  Acknowledgment I am thankful to my guide Prof.M.S.Borse for his guidance and encouragement.  ... 
doi:10.18535/ijetst/v3i02.03 fatcat:wk56tazguvcmxnbvg2adhpoy7u
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