Semi-Online Video Stabilization Using Probabilistic Keyframe Update and Inter-Keyframe Motion Smoothing
- Title
- Semi-Online Video Stabilization Using Probabilistic Keyframe Update and Inter-Keyframe Motion Smoothing
- Author
- 임종우
- Keywords
- Cameras,; Smoothing methods,; Streaming media,; Robustness,; Real-time systems,; Tracking,; Conferences
- Issue Date
- 2014-10
- Publisher
- IEEE
- Citation
- Institute of Electrical and Electronics Engineers, 2014, P.5786 - 5790
- Abstract
- In this paper, we propose a video stabilization method that takes advantages of both online and offline video stabilization methods in a semi-online framework. Our approach takes the fixed length incoming frames for having the advantages of offline methods with the same length of delayed results. We stabilize input frames by warping to the keyframe to increase the visual stability. For preserving user intent camera motion correctly, we determine the next keyframe update by measuring inconsistency between a current keyframe and incoming frames. Moreover, inter-frame motion smoothing by quadratic fitting bridges the keyframes smoothly for pleasant viewing experiences. Our algorithm not only handles rapid camera motion changes, but also stabilizes the input camera path smoothly in real-time. Experimental results show that the proposed algorithm is comparable to the state-of-the-art offline video stabilization methods with only fixed length of incoming frames.
- URI
- http://ieeexplore.ieee.org/document/7026170/http://hdl.handle.net/20.500.11754/48575
- ISBN
- 2381-8549
- ISSN
- 1522-4880
- DOI
- 10.1109/ICIP.2014.7026170
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML