Modeling continuous visual features for semantic image annotation and retrieval

@article{Li2011ModelingCV,
  title={Modeling continuous visual features for semantic image annotation and retrieval},
  author={Zhixin Li and Zhiping Shi and Xi Liu and Zhongzhi Shi},
  journal={Pattern Recognition Letters},
  year={2011},
  volume={32},
  pages={516-523}
}
Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly extend probabilistic latent semantic analysis (PLSA) to model continuous quantity. In addition, corresponding Expectation–Maximization (EM) algorithm is derived to determine the model parameters. Furthermore, in order to deal with the data of different modalities in terms of their characteristics, we present a semantic annotation model which employs… CONTINUE READING
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