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Imprecision and User Preferences in Multimedia Queries: A Generic Algebraic Approach

  • Paolo Ciaccia
  • Danilo Montesi
  • Wilma Penzo
  • Alberto Trombetta
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1762)

Abstract

Specification and efficient processing of similarity queries on multimedia databases have recently attracted several research efforts, even if most of them have considered specific aspects, such as indexing, of this new exciting scenario. In this paper we try to remedy this by presenting an integrated algebraic framework which allows many relevant aspects of similarity query processing to be dealt with. As a starting point, we assume the more general case where “imprecision” is already present at the data level, typically because of the ambiguous nature of multimedia objects’ content. We then define a generic similarity algebra, SAMEW, where semantics of operators is deliberately left unspecified in order to better adapt to specific scenarios. A basic feature of SAMEW is that it allows user preferences, expressed in the form of weights, to be specified so as to alter the default behavior of most operators. Finally, we discuss some issues related to “approximation” and to “user evaluation” of query results.

Keywords

User Preference Relational Algebra Ranking Criterion Multimedia Database Similarity Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Paolo Ciaccia
    • 1
  • Danilo Montesi
    • 2
  • Wilma Penzo
    • 1
  • Alberto Trombetta
    • 3
  1. 1.DEIS - CSITE-CNRBolognaItaly
  2. 2.Dept. of Computer ScienceDSIMilanoItaly
  3. 3.Dept. of Computer ScienceDITorinoItaly

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