File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1109/ICACT.2004.1293015
- Scopus: eid_2-s2.0-2942651078
Supplementary
-
Citations:
- Scopus: 0
- Appears in Collections:
Conference Paper: Extracting key moving objects in video
| Title | Extracting key moving objects in video |
|---|---|
| Authors | |
| Keywords | Key moving objects extraction Multiple motion video Video segmentation |
| Issue Date | 2004 |
| Citation | 6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure, 2004, v. 2, p. 984-987 How to Cite? |
| Abstract | This paper presents a novel scheme for extracting the key moving objects in picture in picture news video. In this kind of video, some moving objects undergo the static camera while the others do not. Actually it is very difficult for computer to distinguish whether the motion is caused by the moving objects themselves or the moving camera by the frame difference only. So in the paper, the fast, automatic and robust anchorperson extraction is achieved by the simple anchorperson model. The experimental results demonstrate good performances. |
| Persistent Identifier | http://hdl.handle.net/10722/321299 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Xu, Dong | - |
| dc.contributor.author | Liu, Zheng Kai | - |
| dc.contributor.author | Yuan, Yuan | - |
| dc.contributor.author | Li, Xuelong | - |
| dc.date.accessioned | 2022-11-03T02:17:58Z | - |
| dc.date.available | 2022-11-03T02:17:58Z | - |
| dc.date.issued | 2004 | - |
| dc.identifier.citation | 6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure, 2004, v. 2, p. 984-987 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/321299 | - |
| dc.description.abstract | This paper presents a novel scheme for extracting the key moving objects in picture in picture news video. In this kind of video, some moving objects undergo the static camera while the others do not. Actually it is very difficult for computer to distinguish whether the motion is caused by the moving objects themselves or the moving camera by the frame difference only. So in the paper, the fast, automatic and robust anchorperson extraction is achieved by the simple anchorperson model. The experimental results demonstrate good performances. | - |
| dc.language | eng | - |
| dc.relation.ispartof | 6th International Conference on Advanced Communication Technology: Broadband Convergence Network Infrastructure | - |
| dc.subject | Key moving objects extraction | - |
| dc.subject | Multiple motion video | - |
| dc.subject | Video segmentation | - |
| dc.title | Extracting key moving objects in video | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1109/ICACT.2004.1293015 | - |
| dc.identifier.scopus | eid_2-s2.0-2942651078 | - |
| dc.identifier.volume | 2 | - |
| dc.identifier.spage | 984 | - |
| dc.identifier.epage | 987 | - |