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Content-Free Image Retrieval by Combinations of Keywords and User Feedbacks

  • Shingo Uchihashi
  • Takeo Kanade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3568)

Abstract

The performance of a new content-free approach to image retrieval is demonstrated. Accumulated user feedback data that specify which images are (ir)relevant to each other and keywords obtained from a network game are recycled through collaborative filtering techniques to retrieve images without analyzing actual image pixels. Experimental results show the proposed method outperforms a conventional content-based approach using support vector machine. The result was achieved by the combination of feedback data and keywords. Applications of the proposed scheme in query-by-text image retrieval is also discussed.

Keywords

Support Vector Machine Image Retrieval Relevance Feedback Retrieval Performance User Feedback 
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

  • Shingo Uchihashi
    • 1
  • Takeo Kanade
    • 2
  1. 1.Department of Electrical and Computer Engineering 
  2. 2.Robotics InstituteCarnegie Mellon UniversityPittsburghUSA

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