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Article: Selection of Temporal Aligned Video Frames for Video Stitching Application

TitleSelection of Temporal Aligned Video Frames for Video Stitching Application
Authors
KeywordsVideo stitching
Temporal aligned selection
Issue Date2014
PublisherEngineering and Technology Publishing. The Journal's web site is located at http://www.joace.org/
Citation
Journal of Automation and Control Engineering, 2014, v. 2 n. 4, p. 367-370 How to Cite?
AbstractMulti-view image/video stitching algorithm is an extensive research area in computer vision and image based rendering. Most researches focus on stitching the images from different views with assumption that those images have been already aligned in temporal domain. However it is not the case in real application. If the images from different views are not aligned in temporal domain, or in another words, not time synchronized, the corresponding feature points or regions will not be located correctly among different views, which will result in ghost objects appearing in the final stitching/rendering result. In this paper, we present an epipolar geometry consistency scoring scheme to guide temporal aligned video frame pair selection for multi-view video stitching application. Essentially, the proposed scheme allows us to determine whether a given pair of video frames is temporally aligned well for video stitching. Experimental results confirm that better video stitching results can be obtained with the proposed scheme in place.
Persistent Identifierhttp://hdl.handle.net/10722/204724
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLuo, T-
dc.contributor.authorChung, RHY-
dc.contributor.authorChow, KP-
dc.date.accessioned2014-09-20T00:31:59Z-
dc.date.available2014-09-20T00:31:59Z-
dc.date.issued2014-
dc.identifier.citationJournal of Automation and Control Engineering, 2014, v. 2 n. 4, p. 367-370-
dc.identifier.issn2301-3702-
dc.identifier.urihttp://hdl.handle.net/10722/204724-
dc.description.abstractMulti-view image/video stitching algorithm is an extensive research area in computer vision and image based rendering. Most researches focus on stitching the images from different views with assumption that those images have been already aligned in temporal domain. However it is not the case in real application. If the images from different views are not aligned in temporal domain, or in another words, not time synchronized, the corresponding feature points or regions will not be located correctly among different views, which will result in ghost objects appearing in the final stitching/rendering result. In this paper, we present an epipolar geometry consistency scoring scheme to guide temporal aligned video frame pair selection for multi-view video stitching application. Essentially, the proposed scheme allows us to determine whether a given pair of video frames is temporally aligned well for video stitching. Experimental results confirm that better video stitching results can be obtained with the proposed scheme in place.-
dc.languageeng-
dc.publisherEngineering and Technology Publishing. The Journal's web site is located at http://www.joace.org/-
dc.relation.ispartofJournal of Automation and Control Engineering-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectVideo stitching-
dc.subjectTemporal aligned selection-
dc.titleSelection of Temporal Aligned Video Frames for Video Stitching Application-
dc.typeArticle-
dc.identifier.emailChung, RHY: hychung@cs.hku.hk-
dc.identifier.emailChow, KP: chow@cs.hku.hk-
dc.identifier.authorityChung, RHY=rp00219-
dc.identifier.authorityChow, KP=rp00111-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.12720/joace.2.4.367-370-
dc.identifier.hkuros240081-
dc.identifier.volume2-
dc.identifier.issue4-
dc.identifier.spage367-
dc.identifier.epage370-
dc.publisher.placeUnited States-

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