An object-oriented SGML/HyTime compliant multimedia database management system
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Efficient repeating pattern finding in music databases
Proceedings of the seventh international conference on Information and knowledge management
A Sequence-Based Object-Oriented Model for Video Databases
Multimedia Tools and Applications
A Rule-Based Approach to Represent Spatio-Temporal Relations in Video Data
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
A rule-based video database system architecture
Information Sciences—Informatics and Computer Science: An International Journal
BilVideo: Design and Implementation of a Video Database Management System
Multimedia Tools and Applications
State-of-the-art on spatio-temporal information-based video retrieval
Pattern Recognition
Efficient similar trajectory-based retrieval for moving objects in video databases
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Trajectory-Based video retrieval for multimedia information systems
ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
A modeling and similarity measure function for multiple trajectories in moving databases
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
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A key aspect in video modeling is spatial relationships. We propose a spatial representation for specifying the spatial semantics of video data. Based on such a representation, a set of spatial relationships for salient objects is defined to support qualitative and quantitative spatial properties. The model captures both topological and directional spatial relationships. We present a novel way of incorporating this model into a video model, and integrating the abstract video model into an object database management system which has rich multimedia temporal operations. The integrated model is further enhanced by a spatial inference engine. The powerful expressiveness of our video model is validated by some query examples.