Video Forensics Library for Frame Duplication (VLFD)
Publication
Sharma, Himani and Kanwal, Navdeep. ‘Video Interframe Forgery Detection: Classification, Technique & New Dataset’. 1 Jan. 2021: 1 – 20.DOI: 10.3233/JCS-200105
Ground Truth of Dataset
VLFD dataset allows the investigators to rapidly test and analyze their methods using a reliable repository. The latest repository with the maximum number of videos and lengthiest 12 sec encompassed numerous forms of video manipulation technology. The primary objective of developing the ground truth of this dataset is to provide comprehensive details and information on the type of video manipulation encountered in the approach to the study.
Indeed the contributions also include a number of falsified videos ascertained by manipulating the original video. In addition, the VLFD dataset includes 210 original and 210 forged videos. All the original videos are manipulated by applying frame duplication forgery, a category of video inter-frame forgery technique.
In the dataset library, there are 50 still and 60 move mode videos using ASUS smartphone camera having 3840 x 2160 resolution. Phase detection autofocus (PDAF) camera technology is used in this model with an aperture scale of f2.2. The frame rate of each video is 30 frames per second(fps).Furthermore, the dataset videos collected using Vivo smartphone camera includes 50 still and 50 move mode videos with 1920 x 1080 resolution. The camera technology used in this model is Phase detection autofocus(PDAF) and the aperture is f2.2. Each video uses 30 frames per second(fps). The length of all the acquired videos using both cameras is less than 15 seconds. Moreover, the type of forgery implemented and the quantity of indoor, outdoor and nature videos. Few information on the key facts of the dataset is shown in Table 1.
The dataset contribution is very valuable for researchers and capable of allowing a clearer understanding of the methodologies used in their study.
Table 1: Ground Truth of video forgery dataset
| Sr. No. | Test Video | Category | Total length | Bitrate (kbps) | Total Frames | Tampered Frames | Tampering (%) | Execution Time |
| 1. | Monkey | Nature | 00:00:09 | 79999 | 270 | 241 – 270 | 11.11% | 1.06 |
| 2. | Crow | Nature | 00:00:11 | 16554 | 302 | 271 – 302 | 10.26% | 0.76 |
| 3. | Flowers | Nature | 00:00:06 | 81400 | 180 | 151-180 | 16.11% | 1.12 |
| 4. | River | Nature | 00:00:07 | 16602 | 239 | 31-60 | 12.13% | 0.80 |
| 5. | Bowl | Indoor | 00:00:06 | 81201 | 180 | 151-180 | 16.66% | 1.05 |
| 6. | Butterflies | Indoor | 00:00:06 | 10285 | 180 | 151-180 | 16.66% | 0.79 |
| 7. | Globe | Indoor | 00:00:06 | 19146 | 182 | 151-182 | 17.58% | 0.85 |
| 8. | Duck | Indoor | 00:00:06 | 9752 | 173 | 126-150 | 13.87% | 0.80 |
| 9. | Pine Flower | Outdoor | 00:00:06 | 41154 | 182 | 151-182 | 17.03% | 0.80 |
| 10. | Traffic | Outdoor | 00:00:06 | 81681 | 181 | 152-182 | 16.02% | 1.03 |
| 11. | Car | Outdoor | 00:00:08 | 80373 | 240 | 211-240 | 12.08% | 1.10 |
| 12. | Road Car | Outdoor | 00:00:08 | 80314 | 240 | 211-240 | 12.08% | 1.16 |
| 13. | ABoy | People | 00:00:06 | 80675 | 180 | 31-60 | 16.11% | 1.11 |
| 14. | Walking | People | 00:00:05 | 15576 | 175 | 151-175 | 13.71% | 0.81 |
| 15. | Playing children | People | 00:00:06 | 80933 | 180 | 151-180 | 16.11% | 1.13 |
| 16. | Village Women | People | 00:00:12 | 16881 | 362 | 19-36 | 4.69% | 0.77 |
Contact Information
Dataset is free to use for research. You may contact at navdeepkanwal@gmail.com,from your official/verifiable email to get link for downloading dataset.
Copyright Notice
This dataset is restricted for research purposes. Kindly give the citation of associated article if you are using the dataset in any published work.