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| Content Provider | ACM Digital Library |
|---|---|
| Author | van Someren, Maarten Schreiber, Guus van Hage, Willem Robert de Vries, Gerben Malaisé, Véronique |
| 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. |
| Starting Page | 73 |
| Ending Page | 80 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781605587547 |
| DOI | 10.1145/1631024.1631039 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2009-10-23 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Maritime safety and security Semantic web Situational awareness Event modeling Prolog Piecewise linear segmentation |
| Content Type | Text |
| Resource Type | Article |
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