This research project to create the meta level knowledge base system for story-based active media data. This system realizes the comparison of the semantic, emotional and temporal feature relationship. The most significant features of this project are following: 1)The automatic metadata generation function and the automatic media data analyzer, 2)The knowledge expression function by different kind of media integration, 3)The active delivery function for the integrated media data.

5D World Map System is a new computational environment to dynamically create various context-dependent patterns of multimedia stories on spatiotemporal spaces according to a user's viewpoints or imagination processes.

For the past few years, JR East and MDBL in Shonan Fujisawa Campus, Keio University have been studying about an analysis method of railway congestion in the Tokyo metropolitan area. Now we try to apply this previous study to first-class cars on commuter trains that are usually congested, with a brand-new analysis method.