1 research outputs found
Computer-Aided Annotation for Video Tampering Dataset of Forensic Research
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