BulDML at Institute of Mathematics and Informatics >
International Book Series Information Science and Computing >
2008 >
Book 5 Intelligent Technologies and Applications >

Please use this identifier to cite or link to this item:

Title: Distance Matrix Approach to Content Image Retrieval
Authors: Kinoshenko, Dmitry
Mashtalir, Vladimir
Yegorova, Elena
Keywords: Content Image Retrieval
Distance Matrix
Information Search and Retrieval
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: As the volume of image data and the need of using it in various applications is growing significantly in the last days it brings a necessity of retrieval efficiency and effectiveness. Unfortunately, existing indexing methods are not applicable to a wide range of problem-oriented fields due to their operating time limitations and strong dependency on the traditional descriptors extracted from the image. To meet higher requirements, a novel distance-based indexing method for region-based image retrieval has been proposed and investigated. The method creates premises for considering embedded partitions of images to carry out the search with different refinement or roughening level and so to seek the image meaningful content.
ISSN: 1313-0455
Appears in Collections:Book 5 Intelligent Technologies and Applications

Files in This Item:

File Description SizeFormat
IBS-05-p04.pdf280.79 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0!   Creative Commons License DSpace Software Copyright © 2002-2009  The DSpace Foundation - Feedback