Name
Title | ||
|---|---|---|
Enhanced spatio-temporal video copy detection by combining trajectory and spatial consistency |
Abstract | ||
|---|---|---|
The recent improvements on internet technologies and video coding techniques cause an increase in copyright infringements especially for video. Frequently, image-based approaches appear as an essential solution due to the fact that joint usage of quantization-based indexing and weak geometric consistency stages give a capability to compare duplicate videos quickly. However, exploiting purely spatial content ignores the temporal variation of video. In this work, we propose a system that combines the state-of-the-art quantization-based indexing scheme with a novel trajectory-based geometric consistency on spatio-temporal features. This combination improves duplicate video matching task significantly. Briefly, spatial mean and variance of the trajectories are incorporated to establish a weak geometric consistency among pair of frames. To show the success of the proposed method, content-based video copy detection field is selected and TRECVID 2009 dataset is utilized. The experimental results show that constituting trajectory-based consistency on corresponding feature pairs outperforms the performances of merely utilizing spatiotemporal signature and visual signature with enhanced weak geometric consistency. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICIP.2014.7025511 | Image Processing |
Keywords | Field | DocType |
image matching,indexing,object detection,video coding,video databases,Internet technologies,TRECVID 2009 dataset,content-based video copy detection field,duplicate video matching,quantization-based indexing scheme,spatial consistency,spatial mean,spatial variance,spatiotemporal signature,spatiotemporal video copy detection enhancement,trajectory consistency,video coding techniques,visual signature,weak geometric consistency stages,duplicate video search,spatio-temporal feature,trajecotory-based consistency,video copy detection | Computer vision,Pattern recognition,TRECVID,Computer science,Search engine indexing,Coding (social sciences),Video tracking,Video copy detection,Artificial intelligence,Quantization (signal processing),Trajectory,The Internet | Conference |
ISSN | Citations | PageRank |
1522-4880 | 0 | 0.34 |
References | Authors | |
14 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Savas Ozkan | 1 | 39 | 9.48 |
| Ersin Esen | 2 | 92 | 14.15 |
| Gozde Bozdagi Akar | 3 | 129 | 20.15 |