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Authors: Abdelrahman Ahmed and Mohamed S. Shehata

Affiliation: Memorial University of Newfoundland, Canada

Keyword(s): Stabilization, Parallel Architecture, Handheld Devices, UAV.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering ; Video Stabilization

Abstract: With the widespread use of handheld devices and unmanned aerial vehicles (UAVs) that has the ability to record video sequences. Digital video stabilization becomes more important as these sequences are usually shaky undermining the visual quality of the video. Digital video stabilization has been studied for decades yielding an extensive amount of literature in the field. However, most of them are highly sequential. In this paper, we present a new parallel technique that exploits the parallel architecture found in modern day devices. The algorithm divides the frame into blocks and estimates a camera path for each block to better enhance the estimation of the transformation needed to adjust for the shakiness of the video.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ahmed, A. and S. Shehata, M. (2016). Towards High-Quality Parallel Stabilization. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 665-670. DOI: 10.5220/0005765306650670

@conference{visapp16,
author={Abdelrahman Ahmed. and Mohamed {S. Shehata}.},
title={Towards High-Quality Parallel Stabilization},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP},
year={2016},
pages={665-670},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005765306650670},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 3: VISAPP
TI - Towards High-Quality Parallel Stabilization
SN - 978-989-758-175-5
IS - 2184-4321
AU - Ahmed, A.
AU - S. Shehata, M.
PY - 2016
SP - 665
EP - 670
DO - 10.5220/0005765306650670
PB - SciTePress