Frame duplication detection based on BoW model

2017 ◽  
Vol 24 (5) ◽  
pp. 549-567 ◽  
Author(s):  
Guzin Ulutas ◽  
Beste Ustubioglu ◽  
Mustafa Ulutas ◽  
Vasif V. Nabiyev
Keyword(s):  
Duplication Detection ◽  
Frame Duplication

scholarly journals An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery

2012 ◽  
Vol 4 (3) ◽  
pp. 20-32 ◽  
Author(s):  
Yongjian Hu ◽  
Chang-Tsun Li ◽  
Yufei Wang ◽  
Bei-bei Liu
Keyword(s):  
Computational Efficiency ◽  
State Of The Art ◽  
Experimental Results ◽  
Video Frame ◽  
Detection Accuracy ◽  
Forgery Detection ◽  
Detection Algorithms ◽  
Dct Coefficients ◽  
Duplication Detection ◽  
Frame Duplication

Frame duplication is a common way of digital video forgeries. State-of-the-art approaches of duplication detection usually suffer from heavy computational load. In this paper, the authors propose a new algorithm to detect duplicated frames based on video sub-sequence fingerprints. The fingerprints employed are extracted from the DCT coefficients of the temporally informative representative images (TIRIs) of the sub-sequences. Compared with other similar algorithms, this study focuses on improving fingerprints representing video sub-sequences and introducing a simple metric for the matching of video sub-sequences. Experimental results show that the proposed algorithm overall outperforms three related duplication forgery detection algorithms in terms of computational efficiency, detection accuracy and robustness against common video operations like compression and brightness change.

Video interframe forgery detection: Classification, technique & new dataset

2021 ◽  
pp. 1-20
Author(s):  
Himani Sharma ◽  
Navdeep Kanwal
Keyword(s):  
Original Video ◽  
Current Frame ◽  
Detection Techniques ◽  
A New Technique ◽  
Moment Features ◽  
Duplication Detection ◽  
Hu Moment ◽  
Frame Duplication ◽  
Duplicate Video

Multimedia communication as well as other related innovations are gaining tremendous growth in the modern technological era. Even though digital content has traditionally proved to be a piece of legitimate evidence. But the latest technologies have lessened this trust, as a variety of video editing tools have been developed to modify the original video. Therefore, in order to resolve this problem, a new technique has been proposed for the detection of duplicate video sequences. The present paper utilizes gray values to extract Hu moment features in the current frame. These features are further used for classification of video as authentic or forged. Afterwards there was also need to validate the proposed technique using training and test dataset. But the scarcity of training and test datasets, however, is indeed one of the key problems to validate the effectiveness of video tampering detection techniques. In this perspective, the Video Forensics Library for Frame Duplication (VLFD) dataset has been introduced for frame duplication detection purposes. The proposed dataset is made of 210 native videos, in Ultra-HD and Full-HD resolution, captured with different cameras. Every video is 6 to 15 seconds in length and runs at 30 frames per second. All the recordings have been acquired in three different scenarios (indoor, outdoor, nature) and in landscape mode(s). VLFD includes both authentic and manipulated video files. This dataset has been created as an initial repository for manipulated video and enhanced with new features and new techniques in future.

scholarly journals An Improved Fingerprinting Algorithm for Detection of Video Frame Duplication Forgery

2013 ◽  
pp. 64-76
Author(s):  
Yongjian Hu ◽  
Chang-Tsun Li ◽  
Yufei Wang ◽  
Bei-bei Liu
Keyword(s):  
Computational Efficiency ◽  
Experimental Results ◽  
Video Frame ◽  
Detection Accuracy ◽  
Forgery Detection ◽  
Brightness Change ◽  
Detection Algorithms ◽  
Dct Coefficients ◽  
Duplication Detection ◽  
Frame Duplication

Frame duplication is a common way of digital video forgeries. State-of-the-art approaches of duplication detection usually suffer from heavy computational load. In this paper, the authors propose a new algorithm to detect duplicated frames based on video sub-sequence fingerprints. The fingerprints employed are extracted from the DCT coefficients of the temporally informative representative images (TIRIs) of the sub-sequences. Compared with other similar algorithms, this study focuses on improving fingerprints representing video sub-sequences and introducing a simple metric for the matching of video sub-sequences. Experimental results show that the proposed algorithm overall outperforms three related duplication forgery detection algorithms in terms of computational efficiency, detection accuracy and robustness against common video operations like compression and brightness change.

scholarly journals Robust Frame Duplication Detection for Degraded Videos

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qi Han ◽  
Hao Chen ◽  
Liyang Yu ◽  
Qiong Li
Keyword(s):  
Image Registration ◽  
State Of The Art ◽  
Locality Sensitive Hashing ◽  
Matching Process ◽  
Correlation Threshold ◽  
Global Optimal ◽  
The Stability ◽  
Duplication Detection ◽  
Coarse To Fine ◽  
Frame Duplication

To detect frame duplication in degraded videos, we proposed a coarse-to-fine approach based on locality-sensitive hashing and image registration. The proposed method consists of a coarse matching stage and a duplication verification step. In the coarse matching stage, visually similar frame sequences are preclustered by locality-sensitive hashing and considered as potential duplication candidates. These candidates are further checked by a duplication verification step. Being different from the existing methods, our duplication verification does not rely on a fixed distance (or correlation) threshold to judge whether two frames are identical. We resorted to image registration, which is intrinsically a global optimal matching process, to determine whether two frames coincide with each other. We integrated the stability information into the registration objective function to make the registration process more robust for degraded videos. To test the performance of the proposed method, we created a dataset, which consists of 3 subsets of different kinds of degradation and 117 forged videos in total. The experimental results show that our method outperforms state-of-the-art methods for most cases in our dataset and exhibits outstanding robustness under different conditions. Thanks to the coarse-to-fine strategy, the running time of the proposed method is also quite competitive.

scholarly journals Novel Dominant KCNQ2 Exon 7 Partial In-Frame Duplication in a Complex Epileptic and Neurodevelopmental Delay Syndrome

2020 ◽  
Vol 21 (12) ◽  
pp. 4447
Author(s):  
Pedro A. Lazo ◽  
Juan L. García ◽  
Paulino Gómez-Puertas ◽  
Íñigo Marcos-Alcalde ◽  
Cesar Arjona ◽  
...  
Keyword(s):  
Protein Function ◽  
De Novo ◽  
3D Structure ◽  
Unknown Origin ◽  
Unknown Etiology ◽  
Neurodevelopmental Delay ◽  
Calmodulin Binding ◽  
Whole Exome ◽  
Dynamics Simulations ◽  
Frame Duplication

Complex neurodevelopmental syndromes frequently have an unknown etiology, in which genetic factors play a pathogenic role. This study utilizes whole-exome sequencing (WES) to examine four members of a family with a son presenting, since birth, with epileptic-like crises, combined with cerebral palsy, severe neuromotor and developmental delay, dystonic tetraparexia, axonal motor affectation, and hyper-excitability of unknown origin. The WES study detected within the patient a de novo heterozygous in-frame duplication of thirty-six nucleotides within exon 7 of the human KCNQ2 gene. This insertion duplicates the first twelve amino acids of the calmodulin binding site I. Molecular dynamics simulations of this KCNQ2 peptide duplication, modelled on the 3D structure of the KCNQ2 protein, suggest that the duplication may lead to the dysregulation of calcium inhibition of this protein function.

Apply Language Nature Rhythm to Large Scale Duplicated Text Detection

2012 ◽  
Vol 457-458 ◽  
pp. 635-640
Author(s):  
Fan Chen ◽  
Zhi Yong Feng ◽  
Geng Zhao
Keyword(s):  
Large Scale ◽  
High Accuracy ◽  
Text Detection ◽  
The Other ◽  
Duplication Detection ◽  
The Web

It is urgent that detect the duplication in large scale text in the Web. An arithmetic based on language rhythm for text duplication detection is proposed here. Get the nature rhythm marked by punctuations in text and build the rhythm compare matrix to complete the publication detection for each paragraph. This arithmetic is different with the other one which is based on words analysis. And it has a high accuracy and a low complicacy.

scholarly journals Twinkle overexpression prevents cardiac rupture after myocardial infarction by alleviating impaired mitochondrial biogenesis

2016 ◽  
Vol 311 (3) ◽  
pp. H509-H519 ◽  
Author(s):  
Takahiro Inoue ◽  
Masataka Ikeda ◽  
Tomomi Ide ◽  
Takeo Fujino ◽  
Yuka Matsuo ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Myocardial Infarction ◽  
Mitochondrial Biogenesis ◽  
Copy Number ◽  
Cardiac Rupture ◽  
Mtdna Copy Number ◽  
Border Area ◽  
Frame Duplication ◽  
And Oxidative Stress

Cardiac rupture is a fatal complication after myocardial infarction (MI). However, the detailed mechanism underlying cardiac rupture after MI remains to be fully elucidated. In this study, we investigated the role of mitochondrial DNA (mtDNA) and mitochondria in the pathophysiology of cardiac rupture by analyzing Twinkle helicase overexpression mice (TW mice). Twinkle overexpression increased mtDNA copy number approximately twofold and ameliorated ischemic cardiomyopathy at day 28 after MI. Notably, Twinkle overexpression markedly prevented cardiac rupture and improved post-MI survival, accompanied by the suppression of MMP-2 and MMP-9 in the MI border area at day 5 after MI when cardiac rupture frequently occurs. Additionally, these cardioprotective effects of Twinkle overexpression were abolished in transgenic mice overexpressing mutant Twinkle with an in-frame duplication of amino acids 353–365, which resulted in no increases in mtDNA copy number. Furthermore, although apoptosis and oxidative stress were induced and mitochondria were damaged in the border area, these injuries were improved in TW mice. Further analysis revealed that mitochondrial biogenesis, including mtDNA copy number, transcription, and translation, was severely impaired in the border area at day 5. In contrast, Twinkle overexpression maintained mtDNA copy number and restored the impaired transcription and translation of mtDNA in the border area. These results demonstrated that Twinkle overexpression alleviated impaired mitochondrial biogenesis in the border area through maintained mtDNA copy number and thereby prevented cardiac rupture accompanied by the reduction of apoptosis and oxidative stress, and suppression of MMP activity.

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