Name
Abstract | ||
|---|---|---|
Today many people in the world without any (or with little) knowledge about video recording, thanks to the widespread use of mobile devices (PDAs, mobile phones, etc.) take videos. However the unwanted movements of their hands typically blur and introduce disturbing jerkiness in the recorded sequences. A fundamental issue is the overall robustness with respect to different scene contents (indoor, outdoor, etc.) and conditions (illumination changes, moving objects, etc.). In this paper we propose an accurate and robust image alignment algorithm for video stabilization purposes based on a voting strategy. Experimental results confirm the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICIP.2011.6116630 | 2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) |
Keywords | Field | DocType |
Video Stabilization, Voting, Image Alignment | Mobile computing,Histogram,Computer vision,Voting,Jerkiness,Computer science,Image stabilization,Robustness (computer science),Mobile device,Artificial intelligence,Motion estimation | Conference |
ISSN | Citations | PageRank |
1522-4880 | 3 | 0.49 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Puglisi | 1 | 383 | 31.62 |
| Sebastiano Battiato | 2 | 659 | 78.73 |