Abstract
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.
Original language | English |
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Title of host publication | Proceedings - IEEE Computer Society's International Computer Software and Applications Conference |
Pages | 914-919 |
Number of pages | 6 |
DOIs | |
State | Published - Oct 16 2002 |
Event | 26th Annual International Computer Software and Applications Conference - Oxford, United Kingdom Duration: Aug 26 2002 → Aug 29 2002 |
Other
Other | 26th Annual International Computer Software and Applications Conference |
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Country | United Kingdom |
City | Oxford |
Period | 8/26/02 → 8/29/02 |
Keywords
- Content-based image retrieval
- Multimedia systems
ASJC Scopus subject areas
- Software