Visual attention guided video copy detection based on feature points matching with geometric-constraint measurement
Focus of interests in videos is localized by 3D spatiotemporal visual attention modeling. Salient feature points are detected in visual attention regions. Geometric constraint measurement is used for conducting bi-directional point matching. Video matching is transformed to frame-based time-series linear search problem. Our proposed approach achieves promising high detection rate.
visual attention video copy detection feature point geometric constraint spatiotemporal analysis delaunay triangulation video copy attacks similarity measurement