dc.contributor.author | Sarıgül, Mehmet | |
dc.date.accessioned | 2023-12-26T12:53:21Z | |
dc.date.available | 2023-12-26T12:53:21Z | |
dc.date.issued | 2023 | en_US |
dc.identifier.citation | Sarıgül, M. (2023). A survey on digital video stabilization. Multimedia Tools and Applications, 82 (26), pp. 40181-40207.
https://doi.org/10.1007/s11042-023-14726-1 | en_US |
dc.identifier.issn | 1380-7501 | |
dc.identifier.issn | 1573-7721 | |
dc.identifier.uri | https://doi.org/10.1007/s11042-023-14726-1 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/2817 | |
dc.description.abstract | Shakes and jitters are an eventual result of involuntary camera movements during video recording. Digital video stabilization is the elimination of these errors with smart algorithms. This process is usually performed in three steps which are camera motion estimation, motion correction, and stable video synthesis. In the literature, methods differ by the way they perform these steps. The recent success of deep learning has pioneered learning-based video stabilization approaches. This paper provides a detailed explanation of video stabilization methods by analyzing and comparing the applied approaches from past to present. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.isversionof | 10.1007/s11042-023-14726-1 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Digital video processing | en_US |
dc.subject | Frame synthesis | en_US |
dc.subject | Image registration | en_US |
dc.subject | Motion correction | en_US |
dc.subject | Motion estimation | en_US |
dc.subject | Video stabilization | en_US |
dc.subject.classification | Electrical Engineering, Electronics & Computer Science
- Robotics
- Simultaneous Localization and Mapping | |
dc.subject.classification | Videorecording | |
dc.subject.classification | Shutters | |
dc.subject.classification | Digital Video | |
dc.subject.other | Content-Preserving warps | |
dc.subject.other | Filter | |
dc.subject.other | Tracking | |
dc.subject.other | System | |
dc.subject.other | Cameras | |
dc.subject.other | Computer graphics | |
dc.subject.other | Deep learning | |
dc.subject.other | Multimedia systems | |
dc.subject.other | Stabilization | |
dc.subject.other | Video recording | |
dc.subject.other | Camera's movements | |
dc.subject.other | Camera-motion estimation | |
dc.subject.other | Digital video processing | |
dc.subject.other | Digital video stabilizations | |
dc.subject.other | Frame synthesis | |
dc.subject.other | Images registration | |
dc.subject.other | Motion correction | |
dc.subject.other | Smart algorithms | |
dc.subject.other | Video stabilization | |
dc.subject.other | Video synthesis | |
dc.subject.other | Motion estimation | |
dc.title | A survey on digital video stabilization | en_US |
dc.type | article | en_US |
dc.relation.journal | Multimedia Tools and Applications | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Bilgisayar Mühendisliği Bölümü | en_US |
dc.identifier.volume | 82 | en_US |
dc.identifier.issue | 26 | en_US |
dc.identifier.startpage | 40181 | en_US |
dc.identifier.endpage | 40207 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | Sarıgül, Mehmet | |
dc.relation.index | Web of Science - Scopus | en_US |
dc.relation.index | Web of Science Core Collection - Science Citation Index Expanded | |