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Non-parametric Performance Comparison in Pictorial Query by Content Systems

  • Sergio Domínguez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3211)

Abstract

In this paper the author addresses the problem of performance comparison between CBIR systems. The main objective is the introduction of a new non-parametric method for this task. This method has different advantages that are herein explained, since performance evaluation can be stablished on a query-by-query or an averaged basis; it is straigthforwardly computed; can be easily shown in a graphic, including information for different sizes of the retrieval set; and can be easily interpreted, yielding a fast and clear idea of the comparative performance of the CBIR systems being analyzed. Moreover, it can overcome the drawbacks of the precision vs. recall graphics qualitative comparison.

Keywords

Relevant Element Cardinality Measure CBIR System Retrieval Test IEEE CVPR 
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 2004

Authors and Affiliations

  • Sergio Domínguez
    • 1
  1. 1.DISAMUniversidad Politecnica de Madrid 

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