Open AccessInterpolation-Based Smart Video Stabilization
Author(s) -
Semiha Dervişoğlu,
Mehmet Sarıgül,
Levent Karacan
Publication year - 2021
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.202112185
Subject(s) - computer science , interpolation (computer graphics) , process (computing) , artificial intelligence , image stabilization , computer vision , motion (physics) , image (mathematics) , operating system
Video stabilization is the process of eliminating unwanted camera movements and shaking in a recorded video. Recently, learning-based video stabilization methods have become very popular. Supervised learning-based approaches need labeled data. For the video stabilization problem, recording both stable and unstable versions of the same video is quite troublesome and requires special hardware. In order to overcome this situation, learning-based interpolation methods that do not need such data have been proposed. In this paper, we review recent learning-based interpolation methods for video stabilization and discuss the shortcomings and potential improvements of them.