Improving visual data mining using analyzing editing effect of visual data

Tae Meon Bae; Seok Jun Kang; Yong Man Ro

doi:10.1117/12.587759

17 January 2005 Improving visual data mining using analyzing editing effect of visual data

Tae Meon Bae, Seok Jun Kang, Yong Man Ro

Proceedings Volume 5670, Internet Imaging VI; (2005) https://doi.org/10.1117/12.587759
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

With the increase of multimedia contents in the internet, people need to handle a large amount of multimedia contents in the web as well as e-mail. Visual data mining is needed to find appropriate visual data among large multimedia contents. But editing process, which is common on the web affects the feature of visual data, and causes false retrieval in current visual mining system. In this paper, we propose an improving visual mining method by detecting and reducing image editing effects.

Citation Download Citation

Tae Meon Bae, Seok Jun Kang, and Yong Man Ro "Improving visual data mining using analyzing editing effect of visual data", Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); https://doi.org/10.1117/12.587759

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available