Authors:
Thomas Gross
;
Navya Amin
;
Marvin C. Offiah
;
Susanne Rosenthal
;
Nail El-Sourani
and
Markus Borschbach
Affiliation:
University of Applied Sciences (FHDW), Germany
Keyword(s):
Endoscopy, Foreground Moving Objects, Global Motion, Local Motion, Outlier Rejection, Image Composition, Video Stabilization.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Medical Image Applications
;
Motion, Tracking and Stereo Vision
;
Optical Flow and Motion Analyses
;
Segmentation and Grouping
;
Video Stabilization
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.