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FEMAL for Heterogeneous CBIR System  

Kim Hyun-Jong (여주대학교 컴퓨터계열)
Park Young-Bae (명지대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.32, no.9, 2005 , pp. 853-867 More about this Journal
Abstract
A number of content-based image search methods have been proposed to this point. Each of these systems uses different image data and generates different data depending on the extraction method of different characteristics that the search capabilities of each system cannot be compared and assessed. In particular, there is a problem of applying the identical image data onto the contents based image search system on the web that cannot be compared and assessed. To resolve such a problem, the XML-based FEMAL is hereby presented for extracting data of characteristics generated from specific search system in a way that can be recognized from other starch system. In the experiment using FEMAL, the extract data for characteristics is mutually communicated and integrated and the comparison assessment of search capability is seemed to be available.
Keywords
XML; Image Retrieval; Content-Based Image Retrieval; Feature Extraction MArkup Language;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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