Data modeling and querying in video databases

摘要: Multimedia databases have been the subject of extensive research for the last ten years. In particular, indexing and knowledge based representation of semantics associated with video databases are challenging tasks. This research focuses on addressing issues related to event modeling, query formulation, and query processing algorithms for video data. In order to develop viable solutions for content-based retrieval of video data, formal models are needed to capture and represent video events. In this thesis, we propose a Petri-net based formalism, known as Hierarchical Petri-net (HPN), to represent and index video data. HPN's allow multi-level semantic abstractions of events with an arbitrary degree of complexity. We elaborate on how HPN's can capture video data semantics succinctly, and propose algorithms to build a novel video browsing technique that seamlessly integrate low level video semantics such …