Combining image captions and visual analysis for image concept classification

@inproceedings{Kliegr2008CombiningIC,
  title={Combining image captions and visual analysis for image concept classification},
  author={Tom{\'a}s Kliegr and Krishna Chandramouli and Jan Nemrava and Vojtech Sv{\'a}tek and Ebroul Izquierdo},
  booktitle={MDM '08},
  year={2008}
}
We present a framework for efficiently exploiting free-text annotations as a complementary resource to image classification. A novel approach called Semantic Concept Mapping (SCM) is used to classify entities occurring in the text to a custom-defined set of concepts. SCM performs unsupervised classification by exploiting the relations between common entities codified in the Wordnet thesaurus. SCM exploits Targeted Hypernym Discovery (THD) to map unknown entities extracted from the text to… CONTINUE READING
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