Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis

@article{Yang2013MultiFeatureFV,
  title={Multi-Feature Fusion via Hierarchical Regression for Multimedia Analysis},
  author={Yi Yang and Jingkuan Song and Zi Xuan Huang and Zhigang Ma and Nicu Sebe and Alexander G. Hauptmann},
  journal={IEEE Transactions on Multimedia},
  year={2013},
  volume={15},
  pages={572-581}
}
Multimedia data are usually represented by multiple features. In this paper, we propose a new algorithm, namely Multi-feature Learning via Hierarchical Regression for multimedia semantics understanding, where two issues are considered. First, labeling large amount of training data is labor-intensive. It is meaningful to effectively leverage unlabeled data to facilitate multimedia semantics understanding. Second, given that multimedia data can be represented by multiple features, it is… CONTINUE READING
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