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A Database Approach for Expressive Modeling and Efficient Querying of Visual Information

Ahmed Azough 1 Alexandre Delteil 2 Mohand-Said Hacid 1 Fabien de Marchi 1 
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : By the quick development of multimedia technologies, the number of available multimedia resources is always increasing and the need for efficient multimedia modeling, indexing and retrieval techniques is growing. In this work, we propose a hierarchical, hybrid and semistructured data model for representing video data. Based on this model, we build a declarative, rule-based, constraint query language enabling to infer and to retrieve spatial, temporal or semantic relationships from information represented in the model and to intentionally specify relationships among objects and events. We introduce the concept of temporal and spatial reference which allow to simultaneously locate video contents according to multiple spatiotemporal environments in real world. Our model and query language are extensible, application independent, very expressive and quite suitable for multimedia information retrieval.
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Submitted on : Friday, October 14, 2016 - 2:45:31 PM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM

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Ahmed Azough, Alexandre Delteil, Mohand-Said Hacid, Fabien de Marchi. A Database Approach for Expressive Modeling and Efficient Querying of Visual Information. The International Conference on MultiMedia Modeling Conference (MMM) 2010, Jan 2010, Chongqing, China. pp.743-748, ⟨10.1007/978-3-642-11301-7_79⟩. ⟨hal-01381439⟩



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