Name
Title | ||
|---|---|---|
Visual attention guided video copy detection based on feature points matching with geometric-constraint measurement. |
Abstract | ||
|---|---|---|
In this paper, to efficiently detect video copies, focus of interests in videos is first localized based on 3D spatiotemporal visual attention modeling. Salient feature points are then detected in visual attention regions. Prior to evaluate similarity between source and target video sequences using feature points, geometric constraint measurement is employed for conducting bi-directional point matching in order to remove noisy feature points and simultaneously maintain robust feature point pairs. Consequently, video matching is transformed to frame-based time-series linear search problem. Our proposed approach achieves promising high detection rate under distinct video copy attacks and thus shows its feasibility in real-world applications. (C) 2013 Elsevier Inc. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.jvcir.2013.04.005 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Visual attention,Video copy detection,Feature point,Geometric constraint,Spatiotemporal analysis,Delaunay triangulation,Video copy attacks,Similarity measurement | Computer vision,Point set registration,Pattern recognition,Visual attention,Video tracking,Artificial intelligence,Video copy detection,Spatiotemporal Analysis,Mathematics,Delaunay triangulation,Linear search problem,Salient | Journal |
Volume | Issue | ISSN |
24 | 5 | 1047-3203 |
Citations | PageRank | References |
2 | 0.36 | 12 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Duan-Yu Chen | 1 | 296 | 28.79 |
| Yu-Ming Chiu | 2 | 2 | 0.36 |