Abstract
E-business sites and shopping mall sites deal with a lot of image information. To find a specific image from image sources, we usually use web search engines or image database engines. But, the feature based retrieval capabilities of these systems are quite limited, especially for the web images. This Paper presents Web Image Metadata Mining System For E-business Intelligence. We propose the indexing techniques and color based image classification and representation schemes of user log. The system keeps track of user's preferences by generating user query logs and automatically adds more search information to subsequent user queries. To demonstrate the usefulness of the proposed system, some experimental results showing and precision are also explained.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2007 - International Conference on Control, Automation and Systems |
| Pages | 441-444 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2007 Dec 1 |
| Event | International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: 2007 Oct 17 → 2007 Oct 20 |
Other
| Other | International Conference on Control, Automation and Systems, ICCAS 2007 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 07/10/17 → 07/10/20 |
Fingerprint
Keywords
- Retrieval system
- User log
- Web
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Intelligent web image retrieval system using user log (ICCAS 2007). / Jin, Hye Jin; Lee, Hong Chul.
ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 441-444 4406946.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Intelligent web image retrieval system using user log (ICCAS 2007)
AU - Jin, Hye Jin
AU - Lee, Hong Chul
PY - 2007/12/1
Y1 - 2007/12/1
N2 - E-business sites and shopping mall sites deal with a lot of image information. To find a specific image from image sources, we usually use web search engines or image database engines. But, the feature based retrieval capabilities of these systems are quite limited, especially for the web images. This Paper presents Web Image Metadata Mining System For E-business Intelligence. We propose the indexing techniques and color based image classification and representation schemes of user log. The system keeps track of user's preferences by generating user query logs and automatically adds more search information to subsequent user queries. To demonstrate the usefulness of the proposed system, some experimental results showing and precision are also explained.
AB - E-business sites and shopping mall sites deal with a lot of image information. To find a specific image from image sources, we usually use web search engines or image database engines. But, the feature based retrieval capabilities of these systems are quite limited, especially for the web images. This Paper presents Web Image Metadata Mining System For E-business Intelligence. We propose the indexing techniques and color based image classification and representation schemes of user log. The system keeps track of user's preferences by generating user query logs and automatically adds more search information to subsequent user queries. To demonstrate the usefulness of the proposed system, some experimental results showing and precision are also explained.
KW - Retrieval system
KW - User log
KW - Web
UR - http://www.scopus.com/inward/record.url?scp=48349100010&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349100010&partnerID=8YFLogxK
U2 - 10.1109/ICCAS.2007.4406946
DO - 10.1109/ICCAS.2007.4406946
M3 - Conference contribution
AN - SCOPUS:48349100010
SN - 8995003871
SN - 9788995003879
SP - 441
EP - 444
BT - ICCAS 2007 - International Conference on Control, Automation and Systems
ER -