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A Weighted Distance Approach to Relevance Feedback Selim Aksoy, Robert M. Haralick
 

Summary: A Weighted Distance Approach to Relevance Feedback
Selim Aksoy, Robert M. Haralick
Intelligent Systems Laboratory
University of Washington
Seattle, WA 98195-2500 USA
Faouzi A. Cheikh, Moncef Gabbouj
Signal Processing Laboratory
Tampere University of Technology
P.O. Box 553, FIN-33101 Tampere, Finland
Abstract
Content-based image retrieval systems use low-level fea-
tures like color and texture for image representation. Given
these representations as feature vectors, similarity between
images is measured by computing distances in the feature
space. Unfortunately, these low-level features cannot al-
ways capture the high-level concept of similarity in human
perception. Relevance feedback tries to improve the perfor-
mance by allowing iterative retrievals where the feedback
information from the user is incorporated into the database
search. We present a weighted distance approach where

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences