Content Image Retrieval Distance Matrix Indexing 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.