Name
Abstract | ||
|---|---|---|
In this paper we describe general algorithms that are devised for MPEG-7 automatic annotation of Formula 1 videos, and in particular for camera-car shots detection. We employed a shot detection algorithm suitable for cuts and linear transitions detection, which is able to precisely detect both the transition's center and length. Statistical features based on MPEG motion compensation vectors are then employed to provide motion characterization, using a subset of the motion types defined in MPEG-7, and shot type classification. Results on shot detection and classification are provided. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553595_80 | ICIAP |
Keywords | Field | DocType |
camera-car shots detection,motion characterization,mpeg-7 annotation,mpeg motion compensation vector,general algorithm,shot detection,motion type,shot type classification,shot detection algorithm,sports video,motion analysis,mpeg-7 automatic annotation,linear transitions detection | Computer vision,Annotation,Pattern recognition,Motion detection,Computer science,Motion compensation,Artificial intelligence,Motion analysis,Linear discriminant analysis,Motion estimation,Statistical analysis,Motion vector | Conference |
Volume | ISSN | ISBN |
3617 | 0302-9743 | 3-540-28869-4 |
Citations | PageRank | References |
10 | 0.68 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Giovanni Tardini | 1 | 17 | 1.65 |
| Costantino Grana | 2 | 671 | 69.58 |
| Rossano Marchi | 3 | 10 | 0.68 |
| Rita Cucchiara | 4 | 4174 | 300.55 |