Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00530-005-0186-3
DC FieldValue
dc.titleAnalogies based video editing
dc.contributor.authorYan, W.-Q.
dc.contributor.authorKankanhalli, M.S.
dc.contributor.authorWang, J.
dc.date.accessioned2013-07-04T07:36:31Z
dc.date.available2013-07-04T07:36:31Z
dc.date.issued2005
dc.identifier.citationYan, W.-Q., Kankanhalli, M.S., Wang, J. (2005). Analogies based video editing. Multimedia Systems 11 (1) : 3-18. ScholarBank@NUS Repository. https://doi.org/10.1007/s00530-005-0186-3
dc.identifier.issn09424962
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/39212
dc.description.abstractA well-produced video always creates a strong impression on the viewer. However, due to the limitations of the camera, the ambient conditions or the skills of the videographer, the quality of captured videos sometimes falls short of one's expectations. On the other hand, we have a vast amount of superbly captured videos available on the web and in digital libraries. In this paper, we propose the novel approach of video analogies that provides a powerful ability to improve the quality of a video by borrowing features from a higher quality video. We want to improve the given target video in order to obtain a higher quality output video. During the matching phase, we find the correspondence between the pair by using feature matching. Then for the target video, we utilize this correspondence to transfer some desired traits of the source video into the target video in order to obtain a new video. Thus, the new video will obtain the desired features from the source video while retaining the merits of the target video. The video analogies technique provides an intuitive mechanism for automatic editing of videos. We demonstrate the utility of the analogies method by considering three applications - colorizing videos, reducing video blurs, and video rhythm adjustment. We describe each application in detail and provide experimental results to establish the efficacy of the proposed approach.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00530-005-0186-3
dc.sourceScopus
dc.subjectArtifacts removal
dc.subjectAutomatic video editing
dc.subjectBlur removal
dc.subjectColorizing
dc.subjectVideo analogies
dc.subjectVideo rhythm
dc.typeArticle
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/s00530-005-0186-3
dc.description.sourcetitleMultimedia Systems
dc.description.volume11
dc.description.issue1
dc.description.page3-18
dc.description.codenMUSYE
dc.identifier.isiut000234313500002
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