17 January 2005 Improving visual data mining using analyzing editing effect of visual data
Author Affiliations +
Proceedings Volume 5670, Internet Imaging VI; (2005); doi: 10.1117/12.587759
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
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.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tae Meon Bae, Seok Jun Kang, Yong Man Ro, "Improving visual data mining using analyzing editing effect of visual data", Proc. SPIE 5670, Internet Imaging VI, (17 January 2005); doi: 10.1117/12.587759; http://dx.doi.org/10.1117/12.587759



Image filtering

Data mining

Image retrieval

Image processing


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