Maintaining knowledge about temporal intervals
Communications of the ACM
A multilingual, multimodal digital video library system
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
A Query Model to Synthesize Answer Intervals from Indexed Video Units
IEEE Transactions on Knowledge and Data Engineering
OVID: Design and Implementation of a Video-Object Database System
IEEE Transactions on Knowledge and Data Engineering
An Object-Oriented Conceptual Modeling of Video Data
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Spatio-temporal querying in video databases
Information Sciences—Informatics and Computer Science: An International Journal
Multimodal Video Indexing: A Review of the State-of-the-art
Multimedia Tools and Applications
Semantic retrieval of multimedia data
Proceedings of the 2nd ACM international workshop on Multimedia databases
BilVideo video database management system
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Content-based query processing for video databases
IEEE Transactions on Multimedia
Integrated semantic-syntactic video modeling for search and browsing
IEEE Transactions on Multimedia
Structural and event based multimodal video data modeling
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Querying fuzzy spatiotemporal data using XQuery
Integrated Computer-Aided Engineering
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Investments on multimedia technology enable us to store many more reflections of the real world in digital world as videos so that we carry a lot of information to the digital world directly. In order to store and efficiently query this information, a video database system (VDBS) is necessary. We propose a structural, event based and multimodal (SEBM) video data model which supports three different modalities that are visual, auditory and textual modalities for VDBSs and we can dissolve these three modalities within a single SEBM model. We answer the content-based, spatio-temporal and fuzzy queries of the user by using SEBM video data model more easily, since SEBM stores the video data as the way that user interprets the real world data. We follow divide and conquer technique when answering very complicated queries. We give the algorithms for querying on SEBM and try them on an implemented SEBM prototype system.