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Article: Anchorperson extraction for Picture in Picture news video

TitleAnchorperson extraction for Picture in Picture news video
Authors
KeywordsMultiple motion video
Picture in Picture news video
Video segmentation
Issue Date2004
Citation
Pattern Recognition Letters, 2004, v. 25, n. 14, p. 1587-1594 How to Cite?
AbstractPicture in Picture news video is one typical kind of video sequences, where some regions undergo the moving camera and the others undergo the static camera. Actually it is a very difficult for computer to distinguish whether the motion is caused by the moving objects themselves or the moving camera, thus extracting anchorperson from this kind of video becomes a challenging vision task. To our knowledge, it is the first time to address this kind of application. Change detection is implemented to achieve fast, automatic and robust anchorperson extraction with the aid of a simple anchorperson model, which is initialized once in the first frame. The experiment results demonstrate our performance. © 2004 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/321349
ISSN
2021 Impact Factor: 4.757
2020 SCImago Journal Rankings: 0.669
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Dong-
dc.contributor.authorLi, Xuelong-
dc.contributor.authorLiu, Zhengkai-
dc.contributor.authorYuan, Yuan-
dc.date.accessioned2022-11-03T02:18:19Z-
dc.date.available2022-11-03T02:18:19Z-
dc.date.issued2004-
dc.identifier.citationPattern Recognition Letters, 2004, v. 25, n. 14, p. 1587-1594-
dc.identifier.issn0167-8655-
dc.identifier.urihttp://hdl.handle.net/10722/321349-
dc.description.abstractPicture in Picture news video is one typical kind of video sequences, where some regions undergo the moving camera and the others undergo the static camera. Actually it is a very difficult for computer to distinguish whether the motion is caused by the moving objects themselves or the moving camera, thus extracting anchorperson from this kind of video becomes a challenging vision task. To our knowledge, it is the first time to address this kind of application. Change detection is implemented to achieve fast, automatic and robust anchorperson extraction with the aid of a simple anchorperson model, which is initialized once in the first frame. The experiment results demonstrate our performance. © 2004 Elsevier B.V. All rights reserved.-
dc.languageeng-
dc.relation.ispartofPattern Recognition Letters-
dc.subjectMultiple motion video-
dc.subjectPicture in Picture news video-
dc.subjectVideo segmentation-
dc.titleAnchorperson extraction for Picture in Picture news video-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.patrec.2004.05.016-
dc.identifier.scopuseid_2-s2.0-4644313972-
dc.identifier.volume25-
dc.identifier.issue14-
dc.identifier.spage1587-
dc.identifier.epage1594-
dc.identifier.isiWOS:000224489200006-

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