In-sequence video duplicate detection with fast point-to-line matching

A computational geometry approach is developed to detect video duplicate with mild transformations. We model the video sequence as a trajectory after scaling and projection. Through interpolation and equal curve length sampling, part of the frame points is selected. A simplified video representation is the line segment set connecting the left neighboring points. For a given query, match distortion is calculated by projecting the query frame points to the line segment set guided by the frame temporal relationship. Experiments demonstrate the effectiveness of the proposed approach.