Integration of keyword and feature based search for image retrieval applications

Abstract

The main obstacle in realizing semantic-based image retrieval is from the web that semantic description of an image is difficult to capture in low-level features. Text based keywords can be generated from web documents to capture semantic information narrowing down the search space. We use an effective dynamic approach to integrate keywords and color-texture features to take advantage of their complementing strengths. Experimental results show that the integrated approach has better retrieval performance than both the text based and the content-based techniques. © Springer-Verlag Berlin Heidelberg 2005.