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标题:Image annotation via graph learning
时间:2019-02-11 21:43:45
DOI:10.1016/j.patcog.2008.04.012
作者:Jing Liu;Mingjing Li;Qingshan Liu;Hanqing Lu;Songde Ma
出版源: 《Pattern Recognit》 ,2009 ,42 (2) :218-228
摘要:Image annotation has been an active research topic in recent years due to its potential impact on both image understanding and web image search. In this pa...
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目录:
  • Image annotation via graph learning
    • Introduction
    • Related work
    • Image annotation via graph learning
      • Graph learning algorithm
      • Overview of image annotation framework
    • Image-based graph learning
      • Nearest spanning chain (NSC)
      • NSC-based image graph
      • Improved sub-NSC-based image graph
      • Image-based graph learning for basic annotation
    • Word-based graph learning
      • Word co-occurrence in the training set
      • Visual content-based correlation in the web context
      • Visual consistence-based correlation in the web context
      • Word-based graph learning for annotation refinement
    • Experiments
      • Corel dataset
      • Web dataset
      • Parameter setting
        • Length of the sub-NSC
        • Maximum length of linker for pairwise occurrence
      • Comparison among word correlations
      • Evaluation on Corel dataset
      • Evaluation on the web image dataset
    • Conclusions
    • Acknowledgments
    • References

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