Name
Abstract | ||
|---|---|---|
Digital video stabilization approaches typically degrade their performances in presence of periodic patterns. Any kind of matching between consecutive frames is not usually able to work in presence of these kind of signals: the motion estimation engine is deceived and its performances degrade abruptly. In this paper we propose a fast fuzzy classifier able to recognize periodic and aperiodic pattern in the images that takes into account the peculiarities of digital video stabilization. Finally, the proposed classifier can be used as a filtering module in a block based video stabilization approach. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02282-1_34 | WILF |
Keywords | Field | DocType |
real-time application,consecutive frame,digital video stabilization,motion estimation engine,periodic pattern detection,video stabilization approach,aperiodic pattern,proposed classifier,periodic pattern | Computer vision,Pattern recognition,Computer science,Image stabilization,Filter (signal processing),Artificial intelligence,Motion estimation,Classifier (linguistics),Fuzzy classifier,Pattern detection,Aperiodic graph,Periodic graph (geometry) | Conference |
Volume | ISSN | Citations |
5571 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Puglisi | 1 | 383 | 31.62 |
| Sebastiano Battiato | 2 | 659 | 78.73 |