Semantic Filtering for Video Stabilization

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 cause 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.


  • K. Karageorgos, A. Dimou, A. Axenopoulos, P. Daras, "Semantic Filtering for Video Stabilization", 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017

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    Contact Information

    Dr. Petros Daras, Principal Researcher Grade Α
    1st km Thermi – Panorama, 57001, Thessaloniki, Greece
    P.O.Box: 60361
    Tel.: +30 2310 464160 (ext. 156)
    Fax: +30 2310 464164
    Email: daras@iti.gr