Name
Abstract | ||
|---|---|---|
Bayesian inference networks have found application in probabilistic information retrieval in the context of textual documents. The paper outlines an architecture whereby an inference network retrieval engine can be applied to multimedia retrieval. Initially, the system was developed to support the content based retrieval of images, however extensions are described so that retrieval of more general multimedia data may be performed |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICME.2000.869612 | Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference |
Keywords | Field | DocType |
belief networks,information retrieval,multimedia databases,search engines,Bayesian inference networks,content based retrieval,general inference network based architecture,general multimedia data retrieval,inference network retrieval engine,multimedia information retrieval,probabilistic information retrieval,textual documents | Human–computer information retrieval,Information retrieval,Query expansion,Data retrieval,Computer science,Multimedia information retrieval,Relevance (information retrieval),Vector space model,Document retrieval,Adversarial information retrieval | Conference |
Volume | ISBN | Citations |
1 | 0-7803-6536-4 | 3 |
PageRank | References | Authors |
0.50 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Campbell Wilson | 1 | 23 | 6.62 |
| Bala Srinivasan | 2 | 33 | 4.51 |
| Maria Indrawan | 3 | 123 | 17.63 |