Paper Info
Title
Computer-Aided Annotation for Video Tampering Dataset of Forensic Research.
Abstract
The annotation of video tampering dataset is a boring task that takes a lot of manpower and financial resources. At present, there is no published literature which is capable to improve the annotation efficiency of forged videos. We presented a computer-aided annotation method for video tampering dataset in this paper. This annotation method can be utilized to label the frames of forged video sequences. By means of comparing the original video frames with the forged video frames, we can locate the position and the trajectory of the forged areas of the forged video frames. Then, we select several key points on the temporal domain according to the trajectory of the forged areas, and mark the forged area of the forged frames in the key point with a mouse. Finally, we use the linear prediction algorithm based on the coordinates of the key positions in the temporal domain to generate the annotation information of forged areas in other video frames which without manually labeled. If the bounding box generated by the computer-aided algorithm deviates from the actual location of the forged area, we can use the mouse to change the position of the bounding box during the preview period. This method combines the manual annotation with computer-aided annotation. It solves the problems of the inaccuracy of annotation by computer-aided as well as the low efficiency of annotation manually, and meet the needs of annotation for an enormous amount of forged videos in the research of video passive forensics.
Year
Venue
Field
2018
arXiv: Multimedia
Computer vision,Annotation,Computer-aided,Computer science,Manual annotation,Linear prediction,Artificial intelligence,Trajectory,Minimum bounding box
DocType
Volume
Issue
Journal
abs/1802.02308
3
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Ye Yao1489.55
Cai-Xia Yu200.34
Li Yang33815.40
Chin-Chen Chang402.37