Intelligent web image retrieval system using user log (ICCAS 2007)

Hye Jin Jin; Hong Chul Lee

doi:10.1109/ICCAS.2007.4406946

Intelligent web image retrieval system using user log (ICCAS 2007)

Hye Jin Jin, Hong Chul Lee

School of Industrial Management Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	https://doi.org/10.1109/ICCAS.2007.4406946
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

Keywords

Retrieval system
User log
Web

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCAS.2007.4406946

Fingerprint Dive into the research topics of 'Intelligent web image retrieval system using user log (ICCAS 2007)'. Together they form a unique fingerprint.

Cite this

Jin, H. J., & Lee, H. C. (2007). Intelligent web image retrieval system using user log (ICCAS 2007). In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 441-444). [4406946] https://doi.org/10.1109/ICCAS.2007.4406946

@inproceedings{8b97fa721b9d458bb9f4e043f39bbafe,

title = "Intelligent web image retrieval system using user log (ICCAS 2007)",

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.",

keywords = "Retrieval system, User log, Web",

author = "Jin, {Hye Jin} and Lee, {Hong Chul}",

year = "2007",

month = dec,

day = "1",

doi = "10.1109/ICCAS.2007.4406946",

language = "English",

isbn = "8995003871",

pages = "441--444",

booktitle = "ICCAS 2007 - International Conference on Control, Automation and Systems",

note = "International Conference on Control, Automation and Systems, ICCAS 2007 ; Conference date: 17-10-2007 Through 20-10-2007",

}

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

T2 - International Conference on Control, Automation and Systems, ICCAS 2007

Y2 - 17 October 2007 through 20 October 2007

ER -