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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dong, A. Li, H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND (Dong, A.; Li, H.) |
| Abstract | Recent advances in computer power, network bandwidth, information storage, and signal processing techniques have led to a proliferation of multimedia data. As a result, multimedia has become one of the most important information sources. To ensure effective utilization of multimedia assets by a variety of users, we propose a multi-ontology based multimedia annotation model, in which domain independent multimedia ontology is integrated with multiple domain ontologies in an effort to provide multiple, domain-specific views of multimedia content such that multimedia access can better address different users' information needs. We have developed a multimedia ontology (MO) based on MPEG-7 multimedia content description tools, proposed a strategy to integrate multiple domain ontologies, and designed a term extraction procedure to automatically extract domain-specific ontological terms from textual resources of multimedia data. To evaluate multi-ontology based multimedia annotation, we have developed a multi-ontology based multimedia access platform with a Web-based interface. The preliminary evaluation suggests that multi-ontology based multimedia annotation can better meet different users' information needs |
| Sponsorship | IEEE Comput. Soc |
| Starting Page | 158 |
| Ending Page | 165 |
| File Size | 249377 |
| Page Count | 8 |
| File Format | |
| ISBN | 0769525539 |
| DOI | 10.1109/SUTC.2006.94 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-05 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multimedia systems Neodymium multimedia annotation Ontologies Information retrieval Data mining and information retrieval. Computer science Feedback Bandwidth Signal processing Computer networks ontology |
| Content Type | Text |
| Resource Type | Article |
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