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Adaptive Image Content-Based Retrieval Techniques for Multiple Queries  

Hong Jong-Sun (Dept. of Electronic Eng., Dong-A University)
Kang Dae-Seong (Dept. of Electronic Eng., Dong-A University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.42, no.3, 2005 , pp. 73-80 More about this Journal
Abstract
Recently there have been many efforts to support searching and browsing based on the visual content of image and multimedia data. Most existing approaches to content-based image retrieval rely on query by example or user based low-level features such as color, shape, texture. But these methods of query are not easy to use and restrict. In this paper we propose a method for automatic color object extraction and labelling to support multiple queries of content-based image retrieval system. These approaches simplify the regions within images using single colorizing algorithm and extract color object using proposed Color and Spatial based Binary tree map(CSB tree map). And by searching over a large of number of processed regions, a index for the database is created by using proposed labelling method. This allows very fast indexing of the image by color contents of the images and spatial attributes. Futhermore, information about the labelled regions, such as the color set, size, and location, enables variable multiple queries that combine both color content and spatial relationships of regions. We proved our proposed system to be high performance through experiment comparable with another algorithm using 'Washington' image database.
Keywords
CBIR(Content-based Image Retrieval); Object extraction; CSB tree map (Color and Spatial based Binary tree map); single colorizing; region labelling; multiple query;
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