Name
Abstract | ||
|---|---|---|
Bridging the gap between low-level features and semantics is a problem commonly acknowledged in the Multimedia community. Event modeling can fill the gap. In this paper we present the Simple Event Model (SEM) and its application in a Maritime Safety and Security use case about Situational Awareness. We show how we abstract over low-level features, recognize simple behavior events using a Piecewise Linear Segmentation algorithm, and model the events as instances of SEM. We apply deduction rules, spatial proximity reasoning, and semantic web reasoning in SWI-Prolog to derive abstract events from the recognized simple events. The use case described in this paper come from the Dutch Poseidon project. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1631024.1631039 | EIMM@MM |
Keywords | DocType | Citations |
prolog,semantic web,situational awareness | Conference | 11 |
PageRank | References | Authors |
1.47 | 11 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Willem Robert van Hage | 1 | 516 | 39.07 |
| Véronique Malaisé | 2 | 178 | 14.38 |
| Gerben de Vries | 3 | 82 | 6.77 |
| Guus Schreiber | 4 | 1448 | 150.58 |
| Maarten van Someren | 5 | 402 | 48.51 |