Share Email Print
cover

Proceedings Paper

Measurement of tag confidence in user generated contents retrieval
Author(s): Sihyoung Lee; Hyun-Seok Min; Young Bok Lee; Yong Man Ro
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 19 January 2009
PDF: 6 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571P (19 January 2009); doi: 10.1117/12.806124
Show Author Affiliations
Sihyoung Lee, Information and Communications Univ. (South Korea)
Hyun-Seok Min, Information and Communications Univ. (South Korea)
Young Bok Lee, Information and Communications Univ. (South Korea)
Yong Man Ro, Information and Communications Univ. (South Korea)


Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top