Name
Abstract | ||
|---|---|---|
The detection of a specific social event requires for high semantic understanding in the interpretation of particular event characteristics such as its type and location. In many cases, photos capturing different events at the same (or highly similar) locations can hardly be distinguished by each other. Available metadata can provide assistance where there is no expert knowledge at hand. However, metadata often lack completeness and reliability. In this paper, we explore the feasibility of a fully automated approach for the detection of specific social events. In comparison to related approaches, we do not incorporate query-specific processing and we perform no manual adaptation of the input query. The resulting approach is applicable to arbitrary event types. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2461466.2461495 | ICMR |
Keywords | Field | DocType |
resulting approach,large photo collection,arbitrary event type,automated social event detection,high semantic understanding,related approach,particular event characteristic,available metadata,specific social event,different event,expert knowledge,automated approach | Metadata,Social event detection,Information retrieval,Computer science,Completeness (statistics) | Conference |
Citations | PageRank | References |
8 | 0.48 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maia Zaharieva | 1 | 121 | 14.62 |
| Matthias Zeppelzauer | 2 | 186 | 21.35 |
| Christian Breiteneder | 3 | 410 | 288.17 |