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Author Shu-Ching, Xiuqi Li ♦ Chen, Shu-Ching ♦ Shyu, Mei-Ling ♦ Furht, Borko
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image Database ♦ Wavelet Technique ♦ Color Label Histogram ♦ Spatial Feature ♦ Search Range ♦ Resulting Feature Vector ♦ Unique Unsupervised Segmentation Algorithm ♦ Color Information ♦ Visual Feature ♦ Visual Content Extraction ♦ Spatial Information ♦ Spatial Filter ♦ Experimental Result ♦ Main Component ♦ Query Engine ♦ Queue Processing ♦ Thirteen Bin ♦ Color Filter
Description Proceedings of the 26 th IEEE Computer Society International Computer Software and Applications Conference (COMPSAC
In this paper, an effective content-based visual image retrieval system is presented. This system consists of two main components: visual content extraction and indexing, and query engine. Each image in the image database is represented by its visual features: color and spatial information. The system uses a color label histogram with only thirteen bins to extract the color information from an image in the image database. A unique unsupervised segmentation algorithm combined with the wavelet technique generates the spatial feature of an image automatically. The resulting feature vectors are relatively low in dimensions compared to those in other systems. The query engine employs a color filter and a spatial filter to dramatically reduce the search range. As a result, queue processing is speeded up. The experimental results demonstrate that our system is capable of retrieving images that belong to the same category.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2002-01-01