A general inference network based architecture for multimedia information retrieval

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