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COMPSAC
2002
IEEE

An Effective Content-Based Visual Image Retrieval System

9 years 9 months ago
An Effective Content-Based Visual Image Retrieval System
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 novel 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, the queries are speeded up. The experimental results demonstrate that our system is capable of retrieving images that belong to the same category.
Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Fur
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where COMPSAC
Authors Xiuqi Li, Shu-Ching Chen, Mei-Ling Shyu, Borko Furht
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