Multimedia Retrieval in a Medical Image Collection: Results Using Modality Classes

  • Angel Castellanos
  • Xaro Benavent
  • Ana García-Serrano
  • J. Cigarrán
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7723)

Abstract

The effective communication between user and systems is one main aim in the Multimedia Information Retrieval field. In this paper the modality classification of images is used to expand the user queries within the ImageCLEF Medical Retrieval collection provided by organizers. Our main contribution is to show how and when results can be improved by understanding modality-related challenges. To do so, a detailed analysis of the results of the experiments carried out is presented and the comparison between these results shows that the improvement using modality class query expansion is query-dependent.

Keywords

Information Retrieval Text-based Retrieval Content-Based Image Retrieval Merge Results Lists Fusion Indexing 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Angel Castellanos
    • 1
  • Xaro Benavent
    • 2
  • Ana García-Serrano
    • 1
  • J. Cigarrán
    • 1
  1. 1.Universidad Nacional de Educación a Distancia, UNEDSpain
  2. 2.Universitat de ValènciaSpain

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