Maintaining knowledge about temporal intervals
Communications of the ACM
Algebraic retrieval of fragmentarily indexed video
New Generation Computing
Composition and Search with a Video Algebra
IEEE MultiMedia
SQL Extension for Interval Data
IEEE Transactions on Knowledge and Data Engineering
A Query Model to Synthesize Answer Intervals from Indexed Video Units
IEEE Transactions on Knowledge and Data Engineering
Interval-Based Conceptual Models for Time-Dependent Multimedia Data
IEEE Transactions on Knowledge and Data Engineering
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
Querying Multiple Perspective Video by Camera Metaphor
DASFAA '01 Proceedings of the 7th International Conference on Database Systems for Advanced Applications
Semiorder Database for Complex Activity Recognition in Multi-Sensory Environments
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
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Recently, MPV(multiple perspective video) has become popular because of recent advancement in digital video technologies. Actually, video surveillance is currently a big application of MPV. In the case of the usage of a lot of video cameras, human's keyword annotation is a tedious task, and automatic image recognition techniques takes an expensive cost to find what are taken in the MPV. Therefore, we need an effective way of capturing camare metadata and sharing annotation information among MPV data. In this paper, we propose a way of modeling and structuring MPV data based on several semantic relationships for browsing and retrieval.