MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Fundamentals of database systems (2nd ed.)
Fundamentals of database systems (2nd ed.)
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
Automatic content-based retrieval of broadcast news
Proceedings of the third ACM international conference on Multimedia
VideoQ: an automated content based video search system using visual cues
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Composition and Search with a Video Algebra
IEEE MultiMedia
WVTDB-A Semantic Content-Based Video Database System on the World Wide Web
IEEE Transactions on Knowledge and Data Engineering
Semantic Modeling and Knowledge Representation in Multimedia Databases
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
Modelling and Querying Video Data
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
A Flexible Content-based Image Retrieval System with Combined Scene Description Keyword
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
A Content-Based Query Language for Video Databases
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Integrated Image and Speech Analysis for Content-Based Video Indexing
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
State of the art of smart homes
Engineering Applications of Artificial Intelligence
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Various types of information can be mixed in a continuous video stream without any clear boundary. For this reason, there seems to be no simple solution to support content-based queries in a video database. The meaning of a video scene can be interpreted by multiple levels of abstraction and its description can be varied among different users. Therefore, it is important for a user to be able to describe a scene flexibly while the description given by different users should be maintained consistently. This paper proposes an effective way to represent the different types of video information in the conventional relational database model. Flexibly defined attributes and their values are organized as tree-structured dictionaries while the description of video data is stored in a fixed database schema. In order to assist a user, two browsing methods are introduced. The dictionary browser simplifies the annotation process as well as the querying process of a user while the result browser can help a user analyze the results of a query in terms of various combinations of query conditions.