An object-oriented approach to multimedia databases
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Picture retrieval by content description
Journal of Information Science
Strategy and Architecture of Health Care Information Systems
Strategy and Architecture of Health Care Information Systems
Multimedia Information Systems
IEEE MultiMedia
Image Information Systems: Where Do We Go From Here?
IEEE Transactions on Knowledge and Data Engineering
A Structured Approach for Cooperative Query Answering
IEEE Transactions on Knowledge and Data Engineering
Query by Visual Example - Content based Image Retrieval
EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Semantic Queries with Pictures: The VIMSYS Model
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Modelling and Querying Video Data
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
IEEE Transactions on Software Engineering
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In this paper, we propose a method to integrate a preexisting conventional database system with a multimedia server in the multidatabase environment. In the multidatabase environment, changes in the preexisting database system are not allowed because such changes are too expensive. For the integration, high-level semantic description of multimedia data is modeled using the enhanced entity-relationship (EER) model to support content-based retrieval of multimedia data. The EER design is translated into a schema of the preexisting database system, and then the translated schema is integrated with the preexisting database schema. The content description can be used to locate pertinent multimedia data, and the identifiers are used to access the multimedia data stored in the multimedia server. However, with only a simple schema representation of the semantic description of multimedia data, high levels of recall and precision of queries may not be obtained because conventional database systems provide only exact matching answers to the query. Thus, we extended the conventional query processing mechanism by providing a modified cooperative query answering mechanism.