A Semantic Model for Video Description and Retrieval
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Computational approaches to temporal sampling of video sequences
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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A knowledge-based approach to model and retrieve video data by content is developed. Selected objects of interest in a video sequence are described and stored in a database. This database forms the object layer. On top of this layer, we define the schema layer used to capture the structured abstractions of the objects stored in the object layer. We propose two abstract languages on the basis of description logics: one for describing the contents of these layers, and the other, more expressive, for making queries. The query language provides possibilities for navigation of the schema through forward and backward traversal of links, sub-setting of attributes, and constraints on links.