Title of article
Concept learning by fuzzy k-NN classification and relevance feedback for efficient image retrieval
Author/Authors
Nezamabadi-pour، نويسنده , , Hossein and Kabir، نويسنده , , Ehsanollah، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2009
Pages
7
From page
5948
To page
5954
Abstract
A new method for combining visual and semantic features in image retrieval is presented. A fuzzy k-NN classifier assigns initial semantic labels to database images. These labels are gradually modified by relevance feedbacks from the users. Experimental results on a database of 1000 images from 10 semantic groups are reported.
Keywords
Semantic Network , Semantic feature , Content-based image retrieval , relevance feedback , Fuzzy Classification
Journal title
Expert Systems with Applications
Serial Year
2009
Journal title
Expert Systems with Applications
Record number
2346111
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