Paper
19 January 2009 Measurement of tag confidence in user generated contents retrieval
Sihyoung Lee, Hyun-Seok Min, Young Bok Lee, Yong Man Ro
Author Affiliations +
Proceedings Volume 7257, Visual Communications and Image Processing 2009; 72571P (2009) https://doi.org/10.1117/12.806124
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
As online image sharing services are becoming popular, the importance of correctly annotated tags is being emphasized for precise search and retrieval. Tags created by user along with user-generated contents (UGC) are often ambiguous due to the fact that some tags are highly subjective and visually unrelated to the image. They cause unwanted results to users when image search engines rely on tags. In this paper, we propose a method of measuring tag confidence so that one can differentiate confidence tags from noisy tags. The proposed tag confidence is measured from visual semantics of the image. To verify the usefulness of the proposed method, experiments were performed with UGC database from social network sites. Experimental results showed that the image retrieval performance with confidence tags was increased.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sihyoung Lee, Hyun-Seok Min, Young Bok Lee, and Yong Man Ro "Measurement of tag confidence in user generated contents retrieval", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571P (19 January 2009); https://doi.org/10.1117/12.806124
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Databases

Image retrieval

Image processing

Information visualization

Telecommunications

Feature extraction

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