Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors

Navya Amin; Thomas Gross; Marvin C. Offiah; Susanne Rosenthal; Nail El-Sourani; Markus Borschbach

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Paper

Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors

Topics: Image Enhancement and Restoration; Medical Image Applications; Optical Flow and Motion Analyses; Segmentation and Grouping; Tracking and Visual Navigation; Video Stabilization

In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 130-137, 2014 , Lisbon, Portugal

Authors: Navya Amin ; Thomas Gross ; Marvin C. Offiah ; Susanne Rosenthal ; Nail El-Sourani and Markus Borschbach

Affiliation: University of Applied Sciences (FHDW), Germany

Keyword(s): Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Medical Image Applications ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Segmentation and Grouping ; Tracking and Visual Navigation ; Video Stabilization

Abstract: Many algorithms for video stabilization have been proposed so far. However, not many digital video stabilization procedures for endoscopic videos are discussed. Endoscopic videos contain immense shakes and distortions as a result of some internal factors like body movements or secretion of body fluids as well as external factors like manual handling of endoscopic devices, introduction of surgical devices into the body, luminance changes etc.. The feature detection and tracking approaches that successfully stabilize the non-endoscopic videos might not give similar results for the endoscopic videos due to the presence of these distortions. Our focus of research includes developing a stabilization algorithm for such videos. This paper focusses on a special motion estimation method which uses global motion vectors for tracking applied to different endoscopic types (while taking into account the endoscopic region of interest). It presents a robust video processing and stabilization techni que that we have developed and the results of comparing it with the state-of-the-art video stabilization tools. Also it discusses the problems specific to the endoscopic videos and the processing techniques which were necessary for such videos unlike the real-world videos. (More)

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Paper citation in several formats:

Amin, N.; Gross, T.; C. Offiah, M.; Rosenthal, S.; El-Sourani, N. and Borschbach, M. (2014). Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 130-137. DOI: 10.5220/0004688801300137

@conference{visapp14,
author={Navya Amin. and Thomas Gross. and Marvin {C. Offiah}. and Susanne Rosenthal. and Nail El{-}Sourani. and Markus Borschbach.},
title={Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004688801300137},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Stabilization of Endoscopic Videos using Camera Path from Global Motion Vectors
SN - 978-989-758-003-1
IS - 2184-4321
AU - Amin, N.
AU - Gross, T.
AU - C. Offiah, M.
AU - Rosenthal, S.
AU - El-Sourani, N.
AU - Borschbach, M.
PY - 2014
SP - 130
EP - 137
DO - 10.5220/0004688801300137
PB - SciTePress