Name
Abstract | ||
|---|---|---|
To improve the degree of immersion for strategic situation representation in strategic war gaming, the concept of virtual news and automatic generation model are presented in this paper. Via analyzing characteristic of news video, the design and generation algorithm for virtual news narrative template are given, which borrow the idea of Natural Language Process and combine the specialties of news video. And the narrative template revise algorithm is also proposed based on time constraints. Virtual News is automatically generated driven by virtual news narrative template, which retrieving relative news segments in multimedia database and selecting appropriate representation method based on the model- EEDU (Extended Entity-Description-Utility). This approach can generate virtual news according to text description about strategic situation provided by users, and furthermore provide personalized service for decision-makers. Finally, experiment results are used to indicate the validity of our system. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11922162_12 | PCM |
Keywords | Field | DocType |
strategic situation representation,virtual news,virtual news narrative template,generation algorithm,retrieving relative news segment,appropriate representation method,strategic situation,strategic war gaming,news video,automatic generation model,decision maker,natural language processing,generic algorithm | Computer vision,Multimedia database,Computer science,Narrative,Natural language,Artificial intelligence,Personalization | Conference |
Volume | ISSN | ISBN |
4261 | 0302-9743 | 3-540-48766-2 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jian-Jun Xu | 1 | 7 | 1.72 |
| Jun Wen | 2 | 3 | 1.14 |
| Dan-Wen Chen | 3 | 0 | 0.34 |
| Yu-Xiang Xie | 4 | 7 | 7.96 |
| Lingda Wu | 5 | 82 | 17.97 |