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An Indexing Approach for Representing Multimedia Objects in High-Dimensional Spaces Based on Expectation Maximization Algorithm

  • Giuseppe Boccignone
  • Vittorio Caggiano
  • Carmine Cesarano
  • Vincenzo Moscato
  • Lucio Sansone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3665)

Abstract

In this paper we introduce a new indexing approach to representing multimedia object classes generated by the Expectation Maximization clustering algorithm in a balanced and dynamic tree structure. To this aim the EM algorithm has been modified in order to obtain at each step of its recursive application balanced clusters. In this manner our tree provides a simple and practical solution to index clustered data and support efficient retrieval of the nearest neighbors in high dimensional object spaces.

Keywords

Expectation Maximization Query Image Range Query Expectation Maximization Algorithm Indexing Approach 
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 2005

Authors and Affiliations

  • Giuseppe Boccignone
    • 1
  • Vittorio Caggiano
    • 2
  • Carmine Cesarano
    • 2
  • Vincenzo Moscato
    • 2
  • Lucio Sansone
    • 2
  1. 1.Dipartimento di Ingegneria dell’InformazioneUniversity of SalernoFisciano (SA)Italy
  2. 2.Dipartimento di Informatica e SistemisticaUniversity Federico IINaplesItaly

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