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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gross, Thomas Amin, Navya Offiah, Marvin C. Rosenthal, Susanne El-Sourani, Nail Borschbach, Markus |
| Copyright Year | 2014 |
| Description | Author affiliation: Competence Center Optimized Systems, University of Applied Sciences (FHDW), Hauptstr. 2, 51465 Bergisch Gladbach, Germany (Gross, Thomas; Amin, Navya; Offiah, Marvin C.; Rosenthal, Susanne; El-Sourani, Nail; Borschbach, Markus) |
| Abstract | Hitherto video stabilization algorithms for different types of videos have been proposed. Our work majorly focuses on developing stabilization algorithms for endoscopic videos which include distortions peculiar to endoscopy. In this paper, we deal with the optimization of the motion detection procedure which is the most important step in the development of a video stabilization algorithm. It presents a robust motion estimation procedure to enhance the quality of the outcome. The outcome of the later steps in the stabilization, namely motion compensation and image composition depend on the level of precision of the motion estimation step. The results of a previous version of the stabilization algorithm are here compared to a new optimized version. Furthermore, the improvements of the outcomes using the video quality estimation methods are also discussed. |
| Starting Page | 64 |
| Ending Page | 72 |
| File Size | 3717754 |
| Page Count | 9 |
| File Format | |
| ISBN | 9789897581335 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-05 |
| Publisher Place | Portugal |
| Access Restriction | Subscribed |
| Rights Holder | SCITEPRESS |
| Subject Keyword | Tracking Motion estimation Outlier Rejection Global Motion Distortion Video Stabilization Local Motion Endoscopes Foreground Moving Objects Cameras Feature extraction Motion detection Endoscopy Image Composition |
| Content Type | Text |
| Resource Type | Article |
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