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 |
|---|---|
| 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 |
|---|---|
| Country | United Kingdom |
| City | Oxford |
| Period | 8/26/02 → 8/29/02 |
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Keywords
- Content-based image retrieval
- Multimedia systems
ASJC Scopus subject areas
- Software
Cite this
An effective content-based visual image retrieval system. / Li, Xiuqi; Chen, Shu Ching; Shyu, Mei-Ling; Furht, Borko.
Proceedings - IEEE Computer Society's International Computer Software and Applications Conference. 2002. p. 914-919.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An effective content-based visual image retrieval system
AU - Li, Xiuqi
AU - Chen, Shu Ching
AU - Shyu, Mei-Ling
AU - Furht, Borko
PY - 2002/10/16
Y1 - 2002/10/16
N2 - 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.
AB - 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.
KW - Content-based image retrieval
KW - Multimedia systems
UR - http://www.scopus.com/inward/record.url?scp=0036386999&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036386999&partnerID=8YFLogxK
U2 - 10.1109/CMPSAC.2002.1045122
DO - 10.1109/CMPSAC.2002.1045122
M3 - Conference contribution
SN - 0769517277
SP - 914
EP - 919
BT - Proceedings - IEEE Computer Society's International Computer Software and Applications Conference
ER -