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- Publisher Website: 10.1016/j.patrec.2004.05.016
- Scopus: eid_2-s2.0-4644313972
- WOS: WOS:000224489200006
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Article: Anchorperson extraction for Picture in Picture news video
Title | Anchorperson extraction for Picture in Picture news video |
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Authors | |
Keywords | Multiple motion video Picture in Picture news video Video segmentation |
Issue Date | 2004 |
Citation | Pattern Recognition Letters, 2004, v. 25, n. 14, p. 1587-1594 How to Cite? |
Abstract | Picture 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 Identifier | http://hdl.handle.net/10722/321349 |
ISSN | 2023 Impact Factor: 3.9 2023 SCImago Journal Rankings: 1.400 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Xu, Dong | - |
dc.contributor.author | Li, Xuelong | - |
dc.contributor.author | Liu, Zhengkai | - |
dc.contributor.author | Yuan, Yuan | - |
dc.date.accessioned | 2022-11-03T02:18:19Z | - |
dc.date.available | 2022-11-03T02:18:19Z | - |
dc.date.issued | 2004 | - |
dc.identifier.citation | Pattern Recognition Letters, 2004, v. 25, n. 14, p. 1587-1594 | - |
dc.identifier.issn | 0167-8655 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321349 | - |
dc.description.abstract | Picture 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.language | eng | - |
dc.relation.ispartof | Pattern Recognition Letters | - |
dc.subject | Multiple motion video | - |
dc.subject | Picture in Picture news video | - |
dc.subject | Video segmentation | - |
dc.title | Anchorperson extraction for Picture in Picture news video | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.patrec.2004.05.016 | - |
dc.identifier.scopus | eid_2-s2.0-4644313972 | - |
dc.identifier.volume | 25 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 1587 | - |
dc.identifier.epage | 1594 | - |
dc.identifier.isi | WOS:000224489200006 | - |