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ICCV
2009
IEEE

Image annotation using multi-label correlated Green's function

9 years 4 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper, we target at solving the automatic image annotation problem in a novel semi-supervised learning framework. A novel multi-label correlated Green's function approach is proposed to annotate images over a graph. The correlations among labels are integrated into the objective function which improves the performance significantly. We also propose a new adaptive decision boundary method for multi-label assignment to deal with the difficulty of label assignment in most of the existing rank-based multi-label classification algorithms. Instead of setting the threshold heuristically or by experience, our method principally compute it upon the prior knowledge in the training data. We perform our methods on three commonly used image annotation testing data sets. Experimental results show significant improvements o...
Hua Wang, Heng Huang, Chris H. Q. Ding
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICCV
Authors Hua Wang, Heng Huang, Chris H. Q. Ding
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