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Proceedings Paper

Improving visual data mining using analyzing editing effect of visual data
Author(s): Tae Meon Bae; Seok Jun Kang; Yong Man Ro
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Paper 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.

Paper Details

Date Published: 17 January 2005
PDF: 11 pages
Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); doi: 10.1117/12.587759
Show Author Affiliations
Tae Meon Bae, Information and Communications Univ. (South Korea)
Seok Jun Kang, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)


Published in SPIE Proceedings Vol. 5670:
Internet Imaging VI
Simone Santini; Raimondo Schettini; Theo Gevers, Editor(s)

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