Name
Abstract | ||
|---|---|---|
In this paper we attempt to characterize resources of information com- plementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video detectors and high-level analysis. Our aim is to extract cross-media fea- ture descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an architecture for complementary re- source analysis and discuss domain dependency aspects of this approach related to our domain of soccer broadcasts. |
Year | Venue | Keywords |
|---|---|---|
2007 | KAMC | information retrieval |
Field | DocType | Citations |
Digital video,Architecture,Information retrieval,Resource analysis,Computer science,STREAMS | Conference | 1 |
PageRank | References | Authors |
0.38 | 14 | 11 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Nemrava | 1 | 9 | 3.45 |
| Paul Buitelaar | 2 | 994 | 121.79 |
| Thierry Declerck | 3 | 309 | 65.24 |
| Vojtech Svátek | 4 | 284 | 46.24 |
| Josef Petrak | 5 | 1 | 0.72 |
| Andreas Cobet | 6 | 10 | 2.37 |
| Herwig Zeiner | 7 | 22 | 6.80 |
| David A. Sadlier | 8 | 48 | 6.68 |
| Noel E. O'Connor | 9 | 2137 | 223.20 |
| Nikos Simou | 10 | 288 | 16.33 |
| Vassilis Tzouvaras | 11 | 652 | 41.89 |