Non-identical Duplicate Video Detection Using the Sift Method

Non-Identical Duplicate video detection is a challenging research problem. Non-Identical Duplicate video are a pair of videos that are not exactly identical but are almost similar. In this paper, we evaluate two methods Keyframe-based and Tomography-based methods to determine the Non-Identical Duplicate videos. These two methods make use of the existing scale based shift invariant (SIFT) method to find the match between the key frames in first method, and the cross-sections through the temporal axis of the videos in second method. We provide extensive experimental results and the analysis of accuracy and efficiency of the above two methods on a data set of Non-Identical Duplicate video-pair.