Exploiting ontologies for automatic image annotation

@inproceedings{Srikanth2005ExploitingOF,
  title={Exploiting ontologies for automatic image annotation},
  author={Munirathnam Srikanth and Joshua Varner and Mitchell Bowden and Dan I. Moldovan},
  booktitle={SIGIR},
  year={2005}
}
Automatic image annotation is the task of automatically assigning words to an image that describe the content of the image. Machine learning approaches have been explored to model the association between words and images from an annotated set of images and generate annotations for a test image. The paper proposes methods to use a hierarchy defined on the annotation words derived from a text ontology to improve automatic image annotation and retrieval. Specifically, the hierarchy is used in the… CONTINUE READING
Highly Influential
This paper has highly influenced 11 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 136 citations. REVIEW CITATIONS
85 Citations
9 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 85 extracted citations

137 Citations

0102030'07'10'13'16
Citations per Year
Semantic Scholar estimates that this publication has 137 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…