Translated Title
A copy-paste video tamper detection method based on features extracting and tracking
Translated Abstract
In this paper, a novel video tamper detection method is proposed.In the method, the SIFT algorithm is firstly used to extract features of video sequence according to inspection interval parameter and seek out the first tampering frame and the tampered area.Then, the compression tracking algo-rithm is used to study the tampered area and locate the suspicious area of each video frame.Finally, the SIFT algorithm is used to calculate the similarity of suspicious area obtained and the position of tampered frames of the whole video and their specific tampered areas are confirmed.The experimental result show that this method are more effective, robust and quick than that of before.
Translated Keyword
compressive tracking
feature extracting
video forgery
video frame
Access Number
WF:perioarticalfzdxxb201504004
