A Multi-Model Framework for Video Information Systems
Uma Shankari Srinivasan, Craig A. Lindley, Bill Simpson‐Young · 1999
In order to develop Video Information Systems (VIS) such as digital video libraries, video-on-demand systems and video synthesis applications, we need to understand the semantics of video data, and have appropriate schemes to store, retrieve and present this data. In this paper, we have presented an integrated multi-model framework for designing VIS application that accommodates semantic representation and supports a variety of forms of content-based retrieval. The framework includes a functional component to represent video and audio analysis functions, a hypermedia component for video delivery and presentation and a data management component to manage multi-modal queries for continuous media. A metamodel is described for representing video semantic at several levelss. Finally we have described a case study — the FRAMES project — which utilises the multimodel framework to develop specific VIS applications. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.