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ORCID: https://orcid.org/0000-0001-7400-9591
(2017).
Semantic Filtering for Video Stabilization.
En: "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.
| Título: | Semantic Filtering for Video Stabilization |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) |
| Fechas del Evento: | 29/08/2017 - 01/09/2017 |
| Lugar del Evento: | Lecce, Italy |
| Título del Libro: | IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2017) |
| Fecha: | 2017 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 50757 |
|---|---|
| Identificador DC: | https://oa.upm.es/50757/ |
| Identificador OAI: | oai:oa.upm.es:50757 |
| Identificador DOI: | 10.1109/AVSS.2017.8078488 |
| URL Oficial: | https://ieeexplore.ieee.org/document/8078488/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 06 Jun 2018 15:21 |
| Ultima Modificación: | 06 Jun 2018 15:21 |
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