Vertical partitioning algorithms for database design
ACM Transactions on Database Systems (TODS)
Vertical partitioning for database design: a graphical algorithm
SIGMOD '89 Proceedings of the 1989 ACM SIGMOD international conference on Management of data
Principles of distributed database systems
Principles of distributed database systems
A comprehensive approach to horizontal class fragmentation in a distributed object based system
Distributed and Parallel Databases
Managing multimedia information in database systems
Communications of the ACM
Distributed Object Based Design: Vertical Fragmentation of Classes
Distributed and Parallel Databases
Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases
IEEE Transactions on Knowledge and Data Engineering
Horizontal Class Partitioning in Object-Oriented Databases
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Towards a novel approach to multimedia data mixed fragmentation
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A vertical partitioning algorithm for distributed multimedia databases
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part II
DYMOND: an active system for dynamic vertical partitioning of multimedia databases
Proceedings of the 16th International Database Engineering & Applications Sysmposium
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Database fragmentation is a process for reducing irrelevant data accesses by grouping data frequently accessed together in dedicated segments. In this paper, we address multimedia database fragmentation by extending existing fragmentation algorithms to take into account key characteristics of multimedia objects. We particularly discuss multimedia primary horizontal fragmentation and provide a partitioning strategy based on low-level multi-media features. Our approach particularly emphasizes the importance of multimedia predicates implications in optimizing multimedia fragments. To validate our approach, we have implemented a prototype computing multimedia predicates implications. Experimental results are satisfactory.