A Probabilistic Model for User Relevance Feedback on Image Retrieval

  • Roberto Paredes
  • Thomas Deselaers
  • Enrique Vidal
Conference paper

DOI: 10.1007/978-3-540-85853-9_24

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5237)
Cite this paper as:
Paredes R., Deselaers T., Vidal E. (2008) A Probabilistic Model for User Relevance Feedback on Image Retrieval. In: Popescu-Belis A., Stiefelhagen R. (eds) Machine Learning for Multimodal Interaction. MLMI 2008. Lecture Notes in Computer Science, vol 5237. Springer, Berlin, Heidelberg

Abstract

We present a novel probabilistic model for user interaction in image retrieval applications which accounts for consistency among the retrieved images and considers the distribution of images in the database which is searched for. Common models for relevance feedback do not consider this and thus do not incorporate all available information. The proposed method is evaluated on two publicly available benchmark databases and clearly outperforms recent competitive methods.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Roberto Paredes
    • 1
  • Thomas Deselaers
    • 2
  • Enrique Vidal
    • 1
  1. 1.Pattern Recognition and Human Language Technology GroupUniversidad Politécnica de ValenciaSpain
  2. 2.Human Language Technology and Pattern Recognition Group Computer Science DepartmentRWTH Aachen UniversityAachenGermany

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