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arXiv · 1107.2859

Label-Specific Training Set Construction from Web Resource for Image Annotation

Jinhui Tang·Shuicheng Yan·Tat-Seng Chua·Ramesh Jain
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Abstract

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.

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Jinhui Tang, Shuicheng Yan, Tat-Seng Chua, Ramesh Jain. 2011-07-14. Label-Specific Training Set Construction from Web Resource for Image Annotation. https://arxiv.org/abs/1107.2859

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