Name
Abstract | ||
|---|---|---|
Video segmentation has drawn increasing interest in multimedia applications. This paper proposes a novel joint space-time-range domain adaptive mean shift filter for video segmentation. In the proposed method, segmentation of moving/static objects/background is obtained through inter-frame mode-matching in consecutive frames and motion vector mode estimation. Newly appearing objects/regions in the current frame due to new foreground objects or uncovered background regions are segmented by intra-frame mode estimation. Simulations have been conducted to several image sequences, and results have shown the effectiveness and robustness of the proposed method. Further study is continued to evaluate the results. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11922162_85 | PCM |
Keywords | Field | DocType |
video segmentation,inter-frame mode-matching,consecutive frame,multimedia application,image sequence,current frame,uncovered background region,joint space-time-range,motion vector mode estimation,intra-frame mode estimation,space time,image segmentation,kernel density estimate,kernel density estimation,mean shift | Computer vision,Block-matching algorithm,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image processing,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Motion estimation,Motion vector | Conference |
Volume | ISSN | ISBN |
4261 | 0302-9743 | 3-540-48766-2 |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene Y. H. Gu | 1 | 240 | 29.10 |
| Vasile Gui | 2 | 27 | 4.34 |
| Zhifei Xu | 3 | 9 | 1.24 |