Mining Multilevel Image Semantics via Hierarchical Classification

@article{Fan2008MiningMI,
  title={Mining Multilevel Image Semantics via Hierarchical Classification},
  author={Jianping Fan and Yuli Gao and Hangzai Luo and Ramesh Jain},
  journal={IEEE Transactions on Multimedia},
  year={2008},
  volume={10},
  pages={167-187}
}
In this paper, we have proposed a novel framework for mining multilevel image semantics via hierarchical classification. To bridge the semantic gap more successfully, salient objects are used to characterize the intermediate image semantics effectively. The salient objects are defined as the connected image regions that capture the dominant visual properties linked to the corresponding physical objects in an image. To achieve a more reliable and tractable concept learning in high-dimensional… CONTINUE READING
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