Content-free image retrieval by combinations of keywords and user feedbacks

  • Authors:
  • Shingo Uchihashi;Takeo Kanade

  • Affiliations:
  • Department of Electrical and Computer Engineering;Robotics Institute, Carnegie Mellon University, Pittsburgh, PA

  • Venue:
  • CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

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.