Exploiting Contextual Information for Image Re-ranking

  • Daniel Carlos Guimarães Pedronette
  • Ricardo da S. Torres
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

Abstract

This paper presents a novel re-ranking approach based on contextual information used to improve the effectiveness of Content-Based Image Retrieval (CBIR) tasks. In our approach, image processing techniques are applied to ranked lists defined by CBIR descriptors. Conducted experiments involving shape, color, and texture descriptors demonstrate the effectiveness of our method.

Keywords

Contextual Information Image Retrieval Image Processing Technique Shape Descriptor Mean Average Precision 
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 2010

Authors and Affiliations

  • Daniel Carlos Guimarães Pedronette
    • 1
  • Ricardo da S. Torres
    • 1
  1. 1.RECOD Lab - Institute of ComputingUniversity of CampinasCampinas/SPBrazil

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