Workflow Architecture for Interactive Video Management Systems
Distributed and Parallel Databases
WVTDB-A Semantic Content-Based Video Database System on the World Wide Web
IEEE Transactions on Knowledge and Data Engineering
A Semantic Model for Video Description and Retrieval
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Semantics Reasoning Based Video Database Systems
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
Spatial and temporal content-based access to hypervideo databases
The VLDB Journal — The International Journal on Very Large Data Bases
Smart videotext: a video data model based on conceptual graphs
Multimedia Systems
Rule-based spatiotemporal query processing for video databases
The VLDB Journal — The International Journal on Very Large Data Bases
VideoGraph: a graphical object-based model for representing and querying video data
ER'00 Proceedings of the 19th international conference on Conceptual modeling
An evaluation method for video semantic models
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Real-Time Query Processing on Live Videos in Networks of Distributed Cameras
International Journal of Interdisciplinary Telecommunications and Networking
An informatics-based approach to object tracking for distributed live video computing
Multimedia Tools and Applications
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This paper introduces a new approach to realize video databases. It consists of a VideoText data model based on free text annotations associated with logical video segments and a corresponding query language. Traditional database techniques are inadequate for exploiting queries on unstructured data like video, supporting temporal queries, and ranking query results according to their relevance to the query. In this paper, we propose to integrate information retrieval techniques to provide these features and to extend the query language to accommodate interval queries that are useful due to the stream nature of video data. Algorithms are presented to show how user queries are evaluated. Finally, a generic and modular video database architecture based on the VideoText data model is described. Keywords: video databases, data and query model, content-based retrieval, information retrieval, database architecture.