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Live logging and posterity logging are the two basic applications for video databases. The former aims at providing effective annotation of video in quasi-real time and supports extraction of meaningful clips from the live stream; the latter provides annotation for later reuse of video material and is the prerequisite for retrieval by content from video digital libraries. Both require that information is adequately structured with interchange format and that annotation is performed, to a great extent, automatically. The video information structure must encompass both low-intermediate level video organization and event relationships that define specific highlights and situations. Analysis of the visual data of the video stream permits hints to be extracted, events identified and highlights detected. All of this must be supported by a-priori knowledge of the subject and effective reasoning engines capable of capturing the inherent semantics of the visual events.