Name
Abstract | ||
|---|---|---|
This paper presents a new approach for finding Camera shot transitions in the compressed stream of MPEG-1 and MPEG-2 videos. False transition patterns on the compressed data are considered to be related to the choices made by the encoder, which has the freedom of making several decisions without violating the MPEG-1 and WPEG-2 standards. These choices contaminate the similarity metrics with patterns that are called encoder signatures in this paper. The present work proposes a video segmentation method that filters the encoder signatures, through a step-wise refinement process using multiple similarity metrics. This process is general and can be easily adapted to MPEG-4 videos. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/MMMC.2006.1651318 | MMM |
Keywords | Field | DocType |
data compression,image segmentation,video coding,MPEG compressed stream,MPEG standard,MPEG videos,camera shot transition,encoder signature,shot segmentation,step-wise refinement process,video segmentation | Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image segmentation,Artificial intelligence,Encoder,Data compression | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| C. N. Vasconcelos | 1 | 0 | 0.34 |
| Bruno Feijó | 2 | 200 | 29.85 |
| Dilza Szwarcman | 3 | 1 | 2.06 |
| Mónica Costa | 4 | 0 | 0.68 |