Semantic Filtering for Video Stabilization

Karageorgos, K. and Dimou, A. and Axenopoulos, A. and Daras, P. and Álvarez García, Federico (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
Author/s:
  • Karageorgos, K.
  • Dimou, A.
  • Axenopoulos, A.
  • Daras, P.
  • Álvarez García, Federico
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

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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
DC Identifier: http://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
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