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An Efficient Search Algorithm for Content-Based Image Retrieval with User Feedback
 

Summary: An Efficient Search Algorithm for Content-Based Image Retrieval
with User Feedback
Alex Po Leung and Peter Auer
Department f¨ur Mathematik und Informationstechnologie
Montanuniversit¨at Leoben
Franz-Josef-Straße 18, 8700, Leoben, Austria.
Abstract
We propose a probabilistic model for the relevance feed-
back of users looking for target images. This model takes
into account user errors and user uncertainty about distin-
guishing similarly relevant images. Based on this model,
we have developed an algorithm, which selects images to
be presented to the user for further relevance feedback un-
til a satisfactory image is found. In each query session, the
algorithm maintains weights on the images in the database
which reflect the assumed relevance of the images. Rele-
vance feedback is used to modify these weights. As a sec-
ond ingredient, the algorithm uses a minimax principle to
select images for presentation to the user: any response
of the user will provide significant information about his

  

Source: Auer, Peter - Department Mathematik und Informationstechnologie, Montanuniversität Leoben

 

Collections: Computer Technologies and Information Sciences