SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Temporal databases: theory, design, and implementation
Temporal databases: theory, design, and implementation
A dynamic data model for a video database management system
ACM Computing Surveys (CSUR)
Dynamic object clustering for video database manipulations
Proceedings of the third IFIP WG2.6 working conference on Visual database systems 3 (VDB-3)
Principles of multimedia database systems
Principles of multimedia database systems
Spatio-temporal composition and indexing for large multimedia applications
Multimedia Systems
The TSQL2 Temporal Query Language
The TSQL2 Temporal Query Language
VIMS: A Video Information Management System
Multimedia Tools and Applications
IEEE Transactions on Knowledge and Data Engineering
Temporal Synchronization Models for Multimedia Data
IEEE Transactions on Knowledge and Data Engineering
A Conceptual Model for Dynamic Clustering in Object Databases
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
A Multimedia Query Language for Handling Multi-Structure Information
Proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA)
An Inferencing Language for Automated Spatial Reasoning about Graphic Entities
SSD '95 Proceedings of the 4th International Symposium on Advances in Spatial Databases
Efficient Multimedia Database Indexing Using Structural Join Index Hierarchy
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
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Video data management (VDM) is fast becoming one of seminar topics in multimedia information systems. In VDM systems, there exists an important need for novel techniques and mechanisms which can provide an efficient retrieval facility of the voluminous data stored in the databases. While "content-based" retrieval provides a direct and an intuitive approach for video data access, it is inadequate from efficient video data management viewpoint. This is because many (semantic) features of video data cannot be extracted out from the video itself automatically; moreover, video objects may share annotations or descriptions. To address these problems, we have been developing an object-oriented video database system which can complement contentbased access with high level (declarative) query-based retrieval. As video objects by their nature are rich in spatial and temporal semantics, a versatile modeling mechanism is devised to support Spatio-Temporal reasoning. Associated language facilities are also being developed to accommodate a wide range of video queries and annotation activities.