Current approaches to modeling the structure and semantics of video recordings restrict its reuse. This is because these approaches are either too rigidly structured or too generally structured and so do not represent the structural and semantic regularities of classes of video recordings. This paper proposes a framework which tackles the problem of reuse by supporting the definition of a wide range of models o video recordings and supporting reuse between them. Examples of the framework's use are presented and examined with respect to different kinds of reuse of video, current research, and the development of a toolset to support the framework.
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