Computer Science – Multimedia
Scientific paper
2011-07-14
Computer Science
Multimedia
4 pages, 5 figures
Scientific paper
Recently many research efforts have been devoted to image annotation by leveraging on the associated tags/keywords of web images as training labels. A key issue to resolve is the relatively low accuracy of the tags. In this paper, we propose a novel semi-automatic framework to construct a more accurate and effective training set from these web media resources for each label that we want to learn. Experiments conducted on a real-world dataset demonstrate that the constructed training set can result in higher accuracy for image annotation.
Chua Tat-Seng
Jain Ramesh
Tang Jinhui
Yan Shuicheng
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