Towards multimedia fragmentation

  • Authors:
  • Samir Saad;Joe Tekli;Richard Chbeir;Kokou Yetongnon

  • Affiliations:
  • LE2I Laboratory UMR-CNRS, University of Bourgogne, Dijon, France;LE2I Laboratory UMR-CNRS, University of Bourgogne, Dijon, France;LE2I Laboratory UMR-CNRS, University of Bourgogne, Dijon, France;LE2I Laboratory UMR-CNRS, University of Bourgogne, Dijon, France

  • Venue:
  • ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
  • Year:
  • 2006

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Abstract

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.