Name
Abstract | ||
|---|---|---|
In this paper we focus on a novel issue in the field of video retrieval stemming from film analysis, namely the investigation
of film montage patterns. For this purpose it is first necessary to reconstruct the original film sequences, i.e. the camera
takes. For the decision whether or not two shots occurring anywhere in a film stem from the same take we use edge histograms
and local feature tracking. Evaluation results on experimental film material (where montage patterns are of great importance)
show a very good performance of the algorithm proposed.
|
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-11301-7_39 | Multimedia Modeling |
Keywords | Field | DocType |
evaluation result,film montage pattern,original film sequence,experimental film material,good performance,film stem,montage pattern,edge histogram,film analysis,great importance | Histogram,Computer vision,Scale-invariant feature transform,Computer graphics (images),Video retrieval,Computer science,Film analysis,Artificial intelligence,Feature tracking,Motion vector | Conference |
Volume | ISSN | ISBN |
5916 | 0302-9743 | 3-642-11300-1 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maia Zaharieva | 1 | 121 | 14.62 |
| Matthias Zeppelzauer | 2 | 186 | 21.35 |
| Christian Breiteneder | 3 | 410 | 288.17 |
| Dalibor Mitrovic | 4 | 76 | 6.23 |