MMVIS: a multimedia visual information seeking environment for video analysis

Our MultiMedia Visual Information Seeking (MMVIS) environment is designed to support an exploratory approach to video analysis. Specialized subset, temporal, spatial, and motion dynamic query filters are tightly coupled with dynamic, user-customizable relationship visualizations to aid users in the discovery of data trends. Users can select two subsets (e.g., a subset of person PI talking events) and then browse various relationships between them (e.g., browsing for temporal relationships such as whether events of type A frequently start at the same time as events of type B), The visualization highlights the frequencies of both the subsets and the relationships between them. This allows users to discover various relationships and trends without having to explicitly pre-code them. In this demonstration, we will focus on temporal analysis aspects of the system, presenting our temporal visual query language, temporal visualization, and an application to real CSCW data.