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Nowadays, the diversity and large deployment of video recorders result in a large volume of video data, whose effective use requires a video indexing process. However, this process generates a major problem consisting in the semantic gap between the extracted low-level features and the ground truth. The ontology paradigm provides a promising solution to overcome this problem. However, no naming syntax...
Video database annotation has become the area field of interest recently, where several methods and techniques emerge. Regarding manual annotation as seriously time-consuming and automatic ones as large-scale of video unsatisfied, our topic of interest belongs to the semi-automatic annotation, where a little set of video is annotated manually and this will be propagated to the entire databases. We...
The ontology is an efficient tool that can bridge the semantic gap between the extracted information from the visual data and its interpretation in a given context. The ontology has been used in video surveillance applications to improve the accuracy of the indexing and retrieval system. However, these systems handle only one or two objects without considering events that involve multiple objects...
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