A Novel Video Stabilization Model with Motion Morphological Component Priors
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wu, H.[Wu, H.] | - |
dc.contributor.author | Xiao, L.[Xiao, L.] | - |
dc.contributor.author | Sun, L.[Sun, L.] | - |
dc.contributor.author | Jeon, B.[Jeon, B.] | - |
dc.date.accessioned | 2021-12-28T16:54:20Z | - |
dc.date.available | 2021-12-28T16:54:20Z | - |
dc.date.created | 2021-12-10 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 1520-9210 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/92675 | - |
dc.description.abstract | Video stabilization is the process of improving the video quality by removing annoying fluctuant motion caused by camera jittering. A key issue of a successful solution is the temporal adaptability to motion and the overall robustness with respect to different motion types. However, most previous methods usually produce non-motion adaptive stabilized videos. In other words, under-smoothing in slow motion segments and over-smoothing in rapid motion segments will be produced for complex shaky videos. To overcome these drawbacks, we propose a novel video stabilization approach using a motion morphological component (MMC decomposition. Specifically, the observed motion is decomposed into three MMCs: low-frequency smoothed (LFS motion, high-frequency compensatory (HFC motion, and shaky motion. LFS motion helps to largely stabilize videos, and HFC motion helps to recover missing motion to deal with over-smoothing. Subsequently, we present an MMC-based model to retrieve the desired smoothed motion, in which weighted nuclear norm and autoregression priors are used for LFS motion, while a sparsity prior is adopted for HFC motion. In addition, we design an adaptive weight setting scheme to detect rapid motions and to calculate the optimal weights. Finally, we develop a stabilization algorithm under the Alternating Direction Method of Multipliers (ADMM framework. Experimental results demonstrate that our method can achieve high-quality results compared with that of other state-of-the-art stabilization methods in terms of robustness and efficiency, both quantitatively and qualitatively. IEEE | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A Novel Video Stabilization Model with Motion Morphological Component Priors | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeon, B.[Jeon, B.] | - |
dc.identifier.doi | 10.1109/TMM.2021.3126934 | - |
dc.identifier.scopusid | 2-s2.0-85119397402 | - |
dc.identifier.wosid | 000934993800005 | - |
dc.identifier.bibliographicCitation | IEEE Transactions on Multimedia, v.25, pp.1 - 1 | - |
dc.relation.isPartOf | IEEE Transactions on Multimedia | - |
dc.citation.title | IEEE Transactions on Multimedia | - |
dc.citation.volume | 25 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 1 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | Adaptive weight | - |
dc.subject.keywordAuthor | Cameras | - |
dc.subject.keywordAuthor | Hybrid fiber coaxial cables | - |
dc.subject.keywordAuthor | motion morphological component decomposition | - |
dc.subject.keywordAuthor | Motion segmentation | - |
dc.subject.keywordAuthor | rapid motion | - |
dc.subject.keywordAuthor | Smoothing methods | - |
dc.subject.keywordAuthor | Three-dimensional displays | - |
dc.subject.keywordAuthor | Trajectory | - |
dc.subject.keywordAuthor | video stabilization | - |
dc.subject.keywordAuthor | Visualization | - |
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