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Semantic Filtering for Video Stabilization
Citation
Karageorgos, K., Dimou, A., Axenopoulos, A., Daras, P. and Álvarez García, Federico 
ORCID: https://orcid.org/0000-0001-7400-9591
(2017).
Semantic Filtering for Video Stabilization.
In: "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017)", 29/08/2017 - 01/09/2017, Lecce, Italy. pp. 174-179.
https://doi.org/10.1109/AVSS.2017.8078488.
Description
| Title: | Semantic Filtering for Video Stabilization |
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| Author/s: |
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| Item Type: | Presentation at Congress or Conference (Article) |
| Event Title: | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) |
| Event Dates: | 29/08/2017 - 01/09/2017 |
| Event Location: | Lecce, Italy |
| Title of Book: | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) |
| Date: | 2017 |
| Subjects: | |
| Faculty: | E.T.S.I. Telecomunicación (UPM) |
| Department: | Señales, Sistemas y Radiocomunicaciones |
| Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
Abstract
Moving objects pose a challenge to every video stabilization algorithm. We present a novel, efficient filtering technique that manages to remove outlier motion vectors caused from moving objects in a per-pixel smoothing setting. We leverage semantic information to change the calculation of optical flow, forcing the outliers to reside in the edges of our semantic mask. After a `content-preserving warping' and a smoothing step we manage to produce stable and artifact-free videos.
More information
| Item ID: | 50757 |
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| DC Identifier: | https://oa.upm.es/50757/ |
| OAI Identifier: | oai:oa.upm.es:50757 |
| DOI: | 10.1109/AVSS.2017.8078488 |
| Official URL: | https://ieeexplore.ieee.org/document/8078488/ |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 06 Jun 2018 15:21 |
| Last Modified: | 06 Jun 2018 15:21 |
